An elegant PyTorch deep reinforcement learning library.
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Updated
Jun 20, 2024 - Python
An elegant PyTorch deep reinforcement learning library.
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).
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)
OpenDILab Decision AI Engine
Mastering Atari with Discrete World Models
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
Python library for Reinforcement Learning.
A3C LSTM Atari with Pytorch plus A3G design
Reinforcement learning with tensorflow 2 keras
Multiplayer Bluetooth controllers adapter for retro video game consoles
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios
AI research environment for the Atari 2600 games 🤖.
Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.
A curated list of Monte Carlo tree search papers with implementations.
Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning
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