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Make position accessible#79

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eugenevinitsky wants to merge 187 commits intofacebookresearch:mainfacebookresearch/nocturne:mainfrom Emerge-Lab:make_position_accessibleEmerge-Lab/nocturne_lab:make_position_accessibleCopy head branch name to clipboard

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Commits on Sep 30, 2023

• Clean-up: remove algos folder

  

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• Clean-up: remove algo configs

  

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• Clean-up: move example scene to data folder

  

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• Clean-up: remove examples folder

  

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• Clean-up: remove cluster_scripts

  

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Commits on Oct 2, 2023

• Clean-up: Added poetry for package management

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• Feature: Added pre-commit with Python, yaml, toml, poetry, docs, and json utilities

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Commits on Oct 3, 2023

• Fix: Moved poetry export pre-commit to local hook as official hook has bugs

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• add data path to env_config

  

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• basic rl usage example

  

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• Merge branch 'feature/nocturne_fork_cleanup' of github.com:Emerge-Lab/nocturne into feature/nocturne_fork_cleanup

  

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• Refactor: Applied pre-commit to ./nocturne/envs/base_env.py and ./configs/env_config.yml

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• Feature: Moved research dependencies to separate research group and added Python box to main group of dependencies

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• Feature: Simplified BaseEnv and env_config.yaml

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Commits on Oct 4, 2023

• add intro examples

  

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• update basic usage example

  

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• update config

  

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• update readme

  

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• Update README.md

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• review and update base_env

  

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• Merge branch 'feature/nocturne_fork_cleanup' of github.com:Emerge-Lab/nocturne into feature/nocturne_fork_cleanup

  

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• Update README.md

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• Update README.md

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• Cleanup

  

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• Update basic usage

  

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• Merge branch 'feature/nocturne_fork_cleanup' of github.com:Emerge-Lab/nocturne into feature/nocturne_fork_cleanup

  

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• add wandb folder in gitignore

  

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• Add PPO with nocturne example

  

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• fix bug in apply actions method

  

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• Add Nocturne to SB3 wrapper for single-agent control

  

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• edits to toml and requiremets

  

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• Remove unused files

  

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• Update README.md

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• Update README.md

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• Update README.md

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• Fix: Collection of bug fixes, specifically:

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• Feature: Added poetry setup instructions to README.md

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• Fix: Removed poetry export for docs requirements.txt as this should be part of docs branch

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Commits on Oct 5, 2023

• update data path

  

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• update basic rl config

  

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• Update README.md

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Commits on Oct 6, 2023

• Merge pull request #1 from Emerge-Lab/feature/nocturne_fork_cleanup

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• Feature: Added installation and start-up scripts for running the package on HPC Greene using a Singularity image

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• Fix: Removed changing cache directories for WandB and pre-commit as these are not related to this PR

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Commits on Oct 8, 2023

• Feature: Docs for using Nocturne lab on HPC and collection of minor bug fixes

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• Merge pull request #4 from Emerge-Lab/feature/add_hpc_setup_scripts

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Commits on Oct 9, 2023

• prep for release

  

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• Merge pull request #6 from Emerge-Lab/release/0.0.1

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• Merge pull request #5 from Emerge-Lab/develop

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• add exp config

  

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• run ppo with vec env and no dead agents

  

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• add custom callback

  

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• add MultiAgentAsVecEnv

  

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• add utils

  

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• Add stable version of CustomPPO with MaskedRolloutBuffer that works wo dead agents.

  

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Commits on Oct 10, 2023

• Add MultiAgentVecEnv that supports single-agent settings with dead agents

  

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• MultiAgentVecEnv with dead agents + ppo works.

  

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• Update README.md

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Commits on Oct 11, 2023

• Series of changes to make PPO compatible with n=2 player nocturne environments (verified)

  

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• Merge branch 'feature/sb3_ma_ppo' of https://github.com/Emerge-Lab/nocturne_lab into feature/sb3_ma_ppo

  

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• Replace obs storage arr with NaNs for empty agent dimensions

  

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• replace zero arrays with nans

  

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• remove if condition and to account for empty agent dimension(s)

  

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• Series of changes to make PPO compatible with n (agents in env) <= M (max agents)

  

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Commits on Oct 12, 2023

• Important bug fix for when num_agents < max_agents; buffer items are REPLACED, so always iterate over M

  

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• Series of changes to make PPO compatible with multiple scenes with a varying number of agents

  

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• Cleanup files and restucture. Ready for review

  

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• Minor edits

  

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• reset buffer in PPO() class rather than the callback

  

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Commits on Oct 13, 2023

• Update README.md

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• Merge pull request #8 from Emerge-Lab/daphnecor-patch-1

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Commits on Oct 16, 2023

• integrate fb

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• remove confusing comment

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Commits on Oct 17, 2023

• Merge pull request #7 from Emerge-Lab/feature/sb3_ma_ppo

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• Add test report

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• Merge pull request #9 from Emerge-Lab/daphnecor-patch-2

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Commits on Oct 18, 2023

• Fix: Added package __init__.py files, missing docs and pyvirtualdisplay dependency

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• Merge pull request #10 from Emerge-Lab/fix/added_package_init_files_docs_and_missing_pyvirtualdisplay

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• Add option to provide wandb experiment name

  

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• rmv std logging

  

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• version changes

  

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• Remove redundant obs dict code

  

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• cleanup redundant buffer code

  

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• cleanup redundant buffer code

  

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• make video at the start to see random behavior in the scene

  

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• Vectorized

  

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• requirements update

  

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• Merge pull request #11 from Emerge-Lab/develop

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• Update README.md

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• Update README.md

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Commits on Oct 19, 2023

• Fixes for running ppo on the gpu

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Commits on Oct 23, 2023

• Update README.md

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• Update README.md

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• restructure

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• restructure

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• scaling up experiments and minor edits in rendering and logging indiv agent rewards

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Commits on Oct 24, 2023

• Add ppo sweeps

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• add model saving and option to log individual rewards and advantages

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Commits on Oct 26, 2023

• Add support for state normalization

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• Add support for state normalization

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Commits on Oct 27, 2023

• Minor edits

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• base env

  

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• test

  

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• small bug fix

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Commits on Oct 29, 2023

• Remove reset call in env init and instead compute the obs_dim from the config file. Also added support for sampling files without replacement.

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• Update make_video function to include support for: 1) logging indiv agent actions; 2) Logging videos for specific scenes; 3) Improve global step readability.

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• Name changes

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• Improve model saving + minor edits

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• name chaneg

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Commits on Oct 31, 2023

• Add normalization and method for computing the state dimension.

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• Add normalization and method for computing the state dimension.

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• Fix bug in rendering function.

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• Configs

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• Merge pull request #12 from Emerge-Lab/ppo_experiments

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• Re-add sample scene

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• rmv normalize state option in sweep

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Commits on Nov 5, 2023

• Add iterator that generates obs-act-next_obs-done transitions.

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• Add imitation learning setup with + sb3

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• Restructure and minor updates.

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• Merge pull request #13 from Emerge-Lab/feature/behav_cloning

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• Update README.md

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Commits on Nov 7, 2023

• Implement a workaround for rendering with Xvfb to resolve memory leak.

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• Clean up and name changes

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• sbatch scripts

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• Render with specific file

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• Fix render bug

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Commits on Nov 14, 2023

• Add sbatch script generator and setup

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• Update sbatch readme

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Commits on Nov 15, 2023

• Add full sbatch setup

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Commits on Nov 16, 2023

• Fix sbatch path bug

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• bug fixes

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• fix rendering issue

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Commits on Nov 17, 2023

• develop

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Commits on Nov 19, 2023

• IL: Add filename in reset() for scene-specific resets

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• IL: Improve setup, train IL policy, save and validate.

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• PPO: restructure and name changes

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• HR_PPO: Add validated HR-PPO code.

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• Made video at the end of training by default.

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Commits on Nov 21, 2023

• Small improvements.

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• Add EvaluatePolicy class that creates a table of performance metrics for a policy.

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• Merge pull request #15 from Emerge-Lab/ppo_cluster

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• Merge pull request #16 from Emerge-Lab/hr_ppo

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• Merge pull request #17 from Emerge-Lab/develop

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• Add hr ppo sweeps

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• Align exp and env seeding.

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Commits on Nov 22, 2023

• IL policy analysis and evaluator class

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Commits on Nov 23, 2023

• Policy evaluation and small fixes.

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Commits on Nov 27, 2023

• Cleanup.

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• Add network that processes the ego state and obs differently.

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• Edits and add network with attention

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Commits on Nov 28, 2023

• Add option for loging observations

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• Add model config

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• Adapt hr_ppo setup

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Commits on Dec 3, 2023

• Add setup optimal benchmark through LP

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Commits on Dec 4, 2023

• Fix: Implemented first version of LP-solution for optimal benchmark

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Commits on Dec 5, 2023

• Update LP benchmark implementation

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Commits on Dec 6, 2023

• improve sbatch script

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• Add late fusion with attention networks

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• Integrate new models in run scripts.

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• Add function to recover the different elements in the observation.

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• Minor improvements

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• Merge branch 'hr_ppo' of github_daphne.com:Emerge-Lab/nocturne_lab into hr_ppo

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• Merge pull request #18 from Emerge-Lab/hr_ppo

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• Add LP benchmark notebook

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• Scenes used for initial LP benchmark

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• Merge pull request #19 from Emerge-Lab/lp_benchmark

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• Add support for Prioritized Scene Replay

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• Prioritized Scene Replay: model and env support

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• Merge branch 'main' of github_daphne.com:Emerge-Lab/nocturne_lab into feature/PSR

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• rmv lp data

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• Stable HR-PPO runs with PSR.

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• Merge pull request #20 from Emerge-Lab/feature/PSR

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• Cleanup run scripts

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• Fixes for sweeps on Greene.

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• model saving fix

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• Merge branch 'develop' of github_daphne.com:Emerge-Lab/nocturne_lab into develop

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• .

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• Remove dense rewards for larger experiments.

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Commits on Jan 2, 2024

• Improve eval pipeline.

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• latest version

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• Merge pull request #21 from Emerge-Lab/hr_rl

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• Clean up ppo train script

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• get things running for eugene

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• add expert position as pybind option

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