PWhiddy/PokemonRedExperiments

Puffing up reinforcement learning

Game Boy emulator written in Python

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

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

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

A toolkit for developing and comparing reinforcement learning algorithms.

Gen1Recomp - A native Lua / LÖVE2D recreation of Gen 1, 2, and 3 Poke

A library of reinforcement learning components and agents

Mastering Diverse Domains through World Models