Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Package provides java implementation of reinforcement learning algorithms such Q-Learn, R-Learn, SARSA, Actor-Critic

SARSA, Q-Learning, Expected SARSA, SARSA(λ) and Double Q-learning Implementation and Analysis

Implement some reinforcement learning algorithms, test and visualize on Pacman.

Reinforcement Learning Algorithms in FrozenLake-v1

基于强化学习(RL)的冰壶游戏实例; 梯度下降的Sarsa(lambda) + 非均匀径向基特征表示

Introduction to Reinforcement Learning in Python

Easy21 assignment from David Silver's RL Course at UCL

Code repository with classical reinforcement learning and deep reinforcement learning methods for Pokémon battles in Pokémon Showdown.

Implementation of Reinforcement Algorithms from scratch

Series of Reinforcement Learning: Q-Learning, Sarsa, SarsaLambda, Deep Q Learning(DQN)；一些列强化学习算法，玩OpenAI-gym游戏

Solve the shortest path problem using Reinforcement Learning. This project applies RL techniques, such as Q-learning and SARSA(λ), to find optimal routes in a weighted graph, where the algorithm learns to navigate by receiving rewards based on edge distances.

Markov decision process master thesis

Deep RL toy example based on gym package with several methods

This repository contains the codes for Term Projects as part of the Reinforcement Learning course (CS600077) that I am taking in the Autumn 2023 semester at IIT Kharagpur

Reversi game with multiple reinforcement learning algorithms.

Applying reinforcement learning methods to a simple card game.

Q-learning agent to solve the frozen lake problem from the OpenAI gym

Advanced RL algorithms for two simplified versions of chess. Shortest Path finds the minimal moves between two cells based on piece capabilities. Capture Pieces trains against random opponents aiming for maximal captures in set moves. Features Deep Q-Learning, Policy Iteration, TD and more.

An agent learns the optimal path towards its goal from any starting point while avoiding obstacles.