repo for learning reinforcement learning from scratch

This project provides a comprehensive understanding of reinforcement learning, focusing on Actor Critic Algorithms. It involves exploring the OpenAI Gym library, implementing the A2C algorithm from DeepMind's seminal paper, and enhancing the A2C algorithm for improved performance and stability.

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

A Torch Based RL Framework for Rapid Prototyping of Research Papers

Clean baseline implementation of PPO using an episodic TransformerXL memory

Book repository for AlphaGo Simplified (CRC Press 2024). Implement ideas behind Deep Blue (rule-based AI) and AlphaGo (rule-based AI + Deep Learning) in three simple games: Last Coin Standing, Tic Tac Toe, and Connect Four.

Snake game environment integrated with OpenAI Gym. Proximal Policy Optimization (PPO) implementation for training. Visualization of training progress and agent performance. Easy to understand code.

Reinforcement Learning Algorithms in a simple Gridworld

Teach a creature to walk by itself (in work)

CS 5180 Reinforcement Learning: Final Project

A Python-based repository with implementations of RL algorithms, featuring visualization tools and benchmarks

Vanilla Actor Critic

Yet another 2048 in reinforcement learning

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Deep Intrinsically Motivated Exploration in Continuous Control

Inverse Reinforcement Learning for Robot Hand Manipulation Task

A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar.

Off-Policy Correction for Actor-Critic Algorithms in Deep Reinforcement Learning

Reinforcement learning experiments with Tic Tac Toe, especially with "logical representations"

Characterizing Broadly Neutralizing Antibody Maturation Pathways Using Reinforcement Learning