Reinforcement Learning
stable-baselines3
TensorBoard
dqn
Reinforcement Learning
Atari
Pac-Man
Eval Results (legacy)
Instructions to use ledmands/ALE-Pacman-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use ledmands/ALE-Pacman-v5 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="ledmands/ALE-Pacman-v5", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Commit History
-
Updated and formatted README
ledmands35a7301 -
Updated and formatted README
ledmandsebcd7c3
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Modified plot_improvement.py to fix agent directory sorting bug
ledmands44830bc
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Got config for dqn version 2.1
ledmands2ef57f9
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Updated README metadata with eval metrics. Updated README with note on replay and eval metrics
ledmands98cdb04 -
updated readme, added replay.mp4 to home directory
ledmandsf7c1ad0 -
Updated README
ledmandsb00577c -
Updated README
ledmandsa01bf38 -
Updated README
ledmandsbdf3a38 -
Updated README
ledmands7e447ec -
Updated README to display video widget
ledmandsc61a4ed -
Removed unecessary comments in plot_improvement.py
ledmands47aa47a -
Removed old code from get_config.py
ledmands91b9fbd -
Modified get_config.py. Updated README. Added config file for most recent agent.
ledmandsdf1cef8 -
Deleted json files from videos. Renamed video files.
ledmands6723373 -
Updated README. Deleted scripts under development from main branch. They are located in development branch.
ledmandsf2b3a9d -
updated readme
ledmands1671397 -
Added videos of the best model from the most recent run
ledmandsc75318b -
Removed testing videos
ledmands956eab4
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Modified evaluate_agent.py slightly.
ledmands7a9dcf1 -
Added TB charts for agent v2.8
ledmands4905fa3 -
Added agent v2.8 and notebook
ledmandsf98a19f
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Updated README
ledmandsfcbbec7 -
Added framework for saving charts in plot_improvement.py
ledmands71d2358 -
plot_improvement works OK, could use fine tuning
ledmandsac49cb8 -
started using numpy like i should have to begin with...
ledmands449b9e9 -
plot improvement is a mess, but getting there
ledmandse036817 -
Changed the video recorder directory
ledmands2690fb6 -
Began work on plotting improvements between training runs
ledmands94c3490
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Added agent and notebook for dqn version 2.7
ledmandsacd0718 -
Updated ReadMe
ledmandsb7f0280 -
Updated watch agent script to remove rendering option
ledmands5d0eb73 -
Moved the config and watch scripts to the root directory. Split the watch script into two scripts: watch and evaluate.
ledmandsca16748 -
Renamed pull_config to get_config. Updated get_config script, working as I'd like
ledmandsbaeb5f8 -
Updated Readme
ledmands678953c
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Added notebook and agent files for dqnv2.6
ledmandsf037205 -
Modified plot_evaluations.py with experimental labels and scaling. Still needs more tuning.
ledmandse64054f -
Updated record_video.py to truncate recording upon episode end. File still saves based on steps specified, however...
ledmandsa2ff203 -
Updated notes in watch_agent.py
ledmands1427095 -
Added functionality to watch_agent.py to support evaluating different agents.
ledmandsa30d4ce -
Added pull_config.py to grab configuration data from agent. Script is still being tested and tuned.
ledmands866f598 -
Added checkpoint agents to each dqn version. Added the notebook for dqn 2.5
ledmandse96aefa -
Changed file structure for agents and updated readme
ledmandsc36f44f
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Updated tags in readme file
ledmandsd0a283e -
removed example video
ledmands9938803 -
record_video.py now functions, needs tuning
ledmands36f3504 -
Modified the record_video.py file, still not functional.
ledmands6aec4d8 -
Added the a2c notebook and the latest dqn run notebook
ledmandse3b737c -
Updated the agent file and best model file for version_2
ledmands3ae69be -
Added option flags to the watch_agent.py file.
ledmandscbe0575