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.

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

A well-documented A2C written in PyTorch

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

PyTorch implementation of DDPG for continuous control tasks.

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

Reinforcement Learning for Practitioners.

Tabular methods for reinforcement learning

Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022