OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
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Updated
Dec 7, 2025 - Python
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
Mastering Atari with Discrete World Models
A JavaScript library used for running emulators of retro consoles inside browsers.
A curated list of Monte Carlo tree search papers with implementations.
A3C LSTM Atari with Pytorch plus A3G design
Emulators running NES, SNES, GameBoy, GameGear, Master System, Megadrive, Neo Geo Pocket, WonderSwan, Lynx, Atari7800, Atari2600, PC-Engine, Coleco, SG1000, GX4000 and MSX on ESP32 with 320KB of RAM
A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.
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