PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
-
Updated
May 15, 2024 - Python
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
OpenDILab Decision AI Engine
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.
A PyTorch library for building deep reinforcement learning agents.
A curated list of Monte Carlo tree search papers with implementations.
Guided Policy Search
Really Fast End-to-End Jax RL Implementations
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
《Reinforcement Learning: An Introduction》(第二版)中文翻译
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL
Framework for Multi-Agent Deep Reinforcement Learning in Poker
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV.
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
Add a description, image, and links to the reinforcement-learning-algorithms topic page so that developers can more easily learn about it.
To associate your repository with the reinforcement-learning-algorithms topic, visit your repo's landing page and select "manage topics."