MeDQN

:video_game: :pencil: A list of Game Development resources to make magic happen.

C# application with primary purpose of farming Steam cards from multiple accounts simultaneously.

An elegant PyTorch deep reinforcement learning library.

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!

A statically typed lisp, without a GC, for real-time applications.

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

Behavior Trees Library in C++. Batteries included.