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

[Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"

Deep Reinforcement Learning in C#

Modular framework for Reinforcement Learning in python

Trading environnement for RL agents, backtesting and training.

Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI

DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN

Discover a curated list of projects complementing TensorTrade, distinct from those mentioned in its official documentation. Contributions are welcome; if you spot a missing project, please submit a pull request!

⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.

A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments

Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.

💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.

A well-documented A2C written in PyTorch

🐍 🏋 OpenAI GYM for Nintendo NES emulator FCEUX and 1983 game Mario Bros. + Double Q Learning for mastering the game

PyTorch implementation of DDPG for continuous control tasks.

Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning

A reusable framework for successor features for transfer in deep reinforcement learning using keras.

🚀一个结合了LSTM股票价格预测与强化学习交易策略的智能股票交易系统。通过深度学习对股市数据进行精准预测，并利用强化学习自动优化交易决策，实现了从数据获取、趋势预测到自动交易的全流程智能化。系统不仅提供了强大的数据处理和预测功能，还内置交互式可视化界面，帮助用户实时查看预测结果与交易决策，适用于多支股票的批量处理，帮助投资者更好地捕捉市场机会，提升交易效率与收益。

Reinforcement Learning for Practitioners.

Tabular methods for reinforcement learning