reinforcement-learning
RL Examples
A collection of clean and minimal examples for various reinforcement learning algorithms
Minimal and Clean Reinforcement Learning Examples
3k stars
127 watching
728 forks
Language: Python
last commit: over 1 year ago
Linked from 1 awesome list
a3cactor-criticdeep-learningdeep-q-networkdeep-reinforcement-learningdqnmachine-learningpolicy-gradientreinforcement-learning
Related projects:
Repository | Description | Stars |
---|---|---|
shangtongzhang/reinforcement-learning-an-introduction | Implementation of key concepts and algorithms in reinforcement learning using Python | 13,590 |
p-christ/deep-reinforcement-learning-algorithms-with-pytorch | PyTorch implementations of popular deep reinforcement learning algorithms and environments. | 5,640 |
matyama/deep-rl-hands-on | A collection of examples and exercises from a deep reinforcement learning book | 2 |
higgsfield/rl-adventure | A tutorial on implementing and extending the Deep Q Network algorithm for reinforcement learning tasks | 3,034 |
thu-ml/tianshou | A high-performance reinforcement learning library with modular interfaces and user-friendly APIs for building deep learning agents. | 7,968 |
tju-drl-lab/ai-optimizer | A next-generation deep reinforcement learning toolkit with libraries for multiagent, self-supervised, offline, and transfer/reinforcement learning | 4,755 |
devsisters/dqn-tensorflow | An implementation of a deep reinforcement learning algorithm for human-level control in game environments using TensorFlow. | 2,480 |
kunqian2025/reinforcement-learning | A collection of implementations of reinforcement learning algorithms in MATLAB | 60 |
keras-rl/keras-rl | An implementation of state-of-the-art deep reinforcement learning algorithms in Python. | 5,526 |
vwxyzjn/cleanrl | A single-file implementation of Deep Reinforcement Learning algorithms with research-friendly features. | 5,683 |
jjkke88/rl_toolbox | A collection of reinforcement learning algorithms and tools for training agents in complex environments. | 43 |
ikostrikov/pytorch-ddpg-naf | An implementation of reinforcement learning algorithms for continuous control tasks using deep neural networks. | 307 |
kaixhin/rainbow | A Python implementation of a deep reinforcement learning algorithm combining multiple techniques for improved performance in Atari games | 1,585 |
hubfire/muti-branch-ddpg-carla | An implementation of a reinforcement learning algorithm using multi-branch architecture and Deep Deterministic Policy Gradients (DDPG) to control autonomous vehicles in simulation environments. | 79 |
paddlepaddle/parl | A high-performance distributed training framework for Reinforcement Learning | 3,273 |