XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
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Updated
Jun 9, 2024 - Python
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
This Matura Project connects diverse improvements to a Reinforcement Learning algorithm. It tries to maintain three key principles: Data efficiency, extendability and faster training.
A multi-agent deep reinforcement learning model to de-traffic our lives
testing MLP, DQN, PPO, SAC, policy-gradient by snake
Reinforcement Learning Agents in .NET
An elegant PyTorch deep reinforcement learning library.
This project involves creating a custom Blackjack environment and training an AI using reinforcement learning techniques, specifically Proximal Policy Optimization (PPO) and Deep Q-Network (DQN). The goal is to teach the AI to play Blackjack and achieve the best possible win rate.
Massively Parallel Deep Reinforcement Learning. 🔥
Code repository with classical reinforcement learning and deep reinforcement learning methods for Pokémon battles in Pokémon Showdown.
A Japanese (Riichi) Mahjong AI Framework
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL),including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
A Torch Based RL Framework for Rapid Prototyping of Research Papers
RL-based agent for playing Atari Pong
repo for learning reinforcement learning from scratch
University of Tehran-Reinforcement Learning Fall 2022
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