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Author:
Jonathan Lamontange-Kratz
Summary:
Reinforcement learning utilities for Deep RL and the Alberta Plan: readable implementations of DQN, Rainbow, PPO, and MCTS.
Latest version:
0.2.0
Required dependencies:
gymnasium
|
matplotlib
|
numpy
|
pygame
|
tensordict
|
torch
|
tqdm
|
wandb
Optional dependencies:
aquarel
|
catanatron
|
catppuccin-matplotlib
|
gym-microrts
|
matplotx
|
mplcyberpunk
|
pettingzoo
|
pytest
|
pytest-cov
|
pytest-rerunfailures
|
qbstyles
|
ray
|
rlcard
|
scienceplots
|
torchvision
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