reinforcement-learning-algorithms

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Repo for the Deep Reinforcement Learning Nanodegree program

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

A curated list of awesome model based RL resources (continually updated)

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.

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

Really Fast End-to-End Jax RL Implementations

A curated list of Decision Transformer resources (continually updated)

NMA deep learning course

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

A curated list of Monte Carlo tree search papers with implementations.

A PyTorch library for building deep reinforcement learning agents.

🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

Guided Policy Search

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV.

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

《Reinforcement Learning: An Introduction》（第二版）中文翻译