🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
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Updated
Jul 9, 2024 - Python
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
First year engineering school project, two board games implementing reinforced learning.
Deep Reinforcement Learning in C#
NMA deep learning course
A beginner-friendly walkthrough of RL fundamentals using OpenAI Gymnasium
DI-engine docs (Chinese and English)
A comprehensive collection of Reinforcement Learning Algorithms implemented in Jupyter Notebook aimed to provide clear, practical, and well-documented code for foundational algorithms.
Collection of materials and code samples on reinforcement learning / optimal control and game theory
MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
This repository features projects that demonstrate various reinforcement learning algorithms and statistical analysis techniques. Created during my course at Northcap University, these projects helped me gain practical experience with these algorithms.
Library for reinforcement learning with c++
A curated list of Decision Transformer resources (continually updated)
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
OpenDILab Decision AI Engine
This package provides ROS support for Stable Baselines3. It allows you to train robotics RL agents in the real world and simulations using ROS and SB3.
An easy-to-use reinforcement learning library for research and education.
Training an agent to land a spacecraft in the LunarLander environment.
Tic-Tac-Toe Q-Learning is a beginner-friendly example of using reinforcement learning.
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
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