reinforcement-learning-an-introduction
RL implementation
Implementation of key concepts and algorithms in reinforcement learning using Python
Python Implementation of Reinforcement Learning: An Introduction
14k stars
555 watching
5k forks
Language: Python
last commit: about 1 year ago
Linked from 1 awesome list
artificial-intelligencereinforcement-learning
Related projects:
| Repository | Description | Stars |
|---|---|---|
| | A collection of clean and minimal examples for various reinforcement learning algorithms | 3,433 |
| | An implementation of an actor-critic reinforcement learning algorithm in Python. | 245 |
| | Provides a framework for building and testing algorithmic trading strategies in Python | 2,781 |
| | Practices implementing popular machine learning algorithms from scratch to gain a deeper understanding of their mathematics | 23,191 |
| | A Python implementation of a reinforcement learning algorithm that uses sequence modeling to solve complex decision-making tasks | 2,433 |
| | 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 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 |
| | A collection of algorithm implementations in Python | 195,521 |
| | An implementation of various algorithms and data structures in Python. | 3,053 |
| | Teaching software developers to build intelligent agents using deep reinforcement learning and OpenAI Gym | 374 |
| | PyTorch implementations of popular deep reinforcement learning algorithms and environments. | 5,669 |
| | A reinforcement learning framework for developing trading strategies | 550 |
| | High-quality implementations of reinforcement learning algorithms for research and development purposes | 15,885 |
| | A framework for running reinforcement learning experiments in real-world algorithmic trading environments | 988 |