An elegant PyTorch deep reinforcement learning library.
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Updated
Nov 24, 2024 - Python
An elegant PyTorch deep reinforcement learning library.
iOS & tvOS multi-emulator frontend, supporting various Atari, Bandai, NEC, Nintendo, Sega, SNK and Sony console systems… Get Started: https://wiki.provenance-emu.com |
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
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.
DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.
Multiplayer Bluetooth controllers adapter for retro video game consoles
[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
Python library for Reinforcement Learning.
Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
A JavaScript library used for running emulators of retro consoles inside browsers.
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
A curated list of Monte Carlo tree search papers with implementations.
Unified Reinforcement Learning Framework
A3C LSTM Atari with Pytorch plus A3G design
Project for capturing vintage, classic, aka old computer schematics in KiCad.
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