reinforcement-learning
RL Examples
A collection of clean and minimal examples for various reinforcement learning algorithms
Minimal and Clean Reinforcement Learning Examples
3k stars
129 watching
734 forks
Language: Python
last commit: almost 2 years ago
Linked from 1 awesome list
a3cactor-criticdeep-learningdeep-q-networkdeep-reinforcement-learningdqnmachine-learningpolicy-gradientreinforcement-learning
Related projects:
Repository | Description | Stars |
---|---|---|
| Implementation of key concepts and algorithms in reinforcement learning using Python | 13,685 |
| PyTorch implementations of popular deep reinforcement learning algorithms and environments. | 5,669 |
| A collection of examples and exercises from a deep reinforcement learning book | 2 |
| A tutorial on implementing and extending the Deep Q Network algorithm for reinforcement learning tasks | 3,043 |
| A high-performance reinforcement learning library with modular interfaces and user-friendly APIs for building deep learning agents. | 8,069 |
| A next-generation deep reinforcement learning toolkit with libraries for multiagent, self-supervised, offline, and transfer/reinforcement learning | 4,848 |
| An implementation of a deep reinforcement learning algorithm for human-level control in game environments using TensorFlow. | 2,491 |
| A collection of implementations of reinforcement learning algorithms in MATLAB | 61 |
| An implementation of state-of-the-art deep reinforcement learning algorithms in Python. | 5,530 |
| A single-file implementation of Deep Reinforcement Learning algorithms with research-friendly features. | 5,891 |
| A collection of reinforcement learning algorithms and tools for training agents in complex environments. | 43 |
| An implementation of reinforcement learning algorithms for continuous control tasks using deep neural networks. | 307 |
| A Python implementation of a deep reinforcement learning algorithm combining multiple techniques for improved performance in Atari games | 1,591 |
| An implementation of a reinforcement learning algorithm using multi-branch architecture and Deep Deterministic Policy Gradients (DDPG) to control autonomous vehicles in simulation environments. | 81 |
| A high-performance distributed training framework for Reinforcement Learning | 3,296 |