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
-
Added agent v2.8 and notebook
ledmandsf98a19f
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Added agent and notebook for dqn version 2.7
ledmandsacd0718
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Added notebook and agent files for dqnv2.6
ledmandsf037205 -
Added checkpoint agents to each dqn version. Added the notebook for dqn 2.5
ledmandse96aefa
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Added the a2c notebook and the latest dqn run notebook
ledmandse3b737c
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Added PPO trial run
ledmandsd458235 -
Added run2v3 to notebooks. Updated run_2 model and best model. Added run2v3 TensorBoard and eval files to agents.
ledmands5f7e8a6
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Updated run2v2 notebook
ledmands0ebc604 -
Updated run_2 agent and best model. Added evaluations and Tensorboard files to run_2.
ledmands8bb61db -
Added final notebook files for first runs. Added Agents and evals from first runs.
ledmands9d02e54
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Added dqn_pacmanv5_run2.ipynb
ledmands650f88b -
Fixed video callback freq in dqn_pacmanv5_run1.ipynb prior to training.
ledmands08b1231 -
Updated dqn_pacmanv5_run1.ipynb to final version prior to training.
ledmandsa3d1c3a -
Added notebook structure for training first agent.
ledmandsba5687a