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Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
An elegant PyTorch deep reinforcement learning library.
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
Implementation of papers in 100 lines of code.
[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Distributed RL System for LLM Reasoning
Python library for Reinforcement Learning.
[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab