RL agent to play μRTS with Stable-Baselines3 and PyTorch
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A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter opt...
RL implementations
Formulating Model-based RL Dynamics as a continuous rather then one step prediction
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scala...
Modularized Implementation of Deep RL Algorithms in PyTorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Reinforcement learning library for Keras and PyTorch.
Massively Parallel Deep Reinforcement Learning. 🔥
Reinforcement learning algorithms in RLlib
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementat...
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics