astooke/rlpyt
Reinforcement Learning in PyTorch
Clean PyTorch implementations of imitation and reward learning algorithms
Appears on
Quick read
Latest capture 2026-08-23 03:05
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
8 observed captures since 2026-05-22. Observed captures are shown by default.
Stars from first capture +27
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
Reinforcement Learning in PyTorch
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Tensorforce: a TensorFlow library for applied reinforcement learning
Implementation of all RL algorithms in a simpler way