Official Repository of the Entity-based Reinforcement Learning for Autonomous Cyber Defence paper.

Selfplay In MultiPlayer Environments

CAGE Challenge 2 with bug fixes, an alternate simplified version and discussion/clarification about gameplay and using this environment.

An Artificial Intelligence Learning implementation on the board game Onitama

Simplified Capture the Flag (CtF) environment for reinforcement learning

A collection of multi agent environments based on OpenAI gym.

An example of draggable plot for matplotlib

Parallel Monte Carlo Tree Search, see README.md for more detailed usage and information.

Demo of UCT (MCTS) in Python / Numpy

a clean generic alpha zero pytorch implementation

Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models" (ICLR 2024)

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

Code for Go-Explore: a New Approach for Hard-Exploration Problems

A curated list of awesome exploration RL resources (continually updated)

Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)

(JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II. JAIR = Journal of Artificial Intelligence Rese…

Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

Basal Glucose Control in Type 1 Diabetes Using An Off-policy Meta Reinforcement Learning Framework with Active Learning

Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"

PyTorch implementation of the implicit Q-learning algorithm (IQL)

Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning

Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL

A curated list of resources dedicated to reinforcement learning applied to cyber security.

A new model-based algorithm for offline inverse reinforcement learning

Official Implementation for Quality-Similar Diversity via Population Based Reinforcement Learning

Package for processing the OpenAPS Data Commons into a machine learning compatible format.