Stars
Simple single-file baselines for Q-Learning in pure-GPU setting
Simplifying reinforcement learning for complex game environments
heiner / nle
Forked from facebookresearch/nleThe NetHack Learning Environment
RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven explora…
A fast and simple perlin noise generator using numpy
Simple, open source, 2D impulse based physics engine for educational use.
HTML5 Port of Incredibots 2 CE
Official implementation of the RLC 2024 paper "Policy-Guided Diffusion"
A toolkit for developing and comparing reinforcement learning algorithms.
Massively parallel rigidbody physics simulation on accelerator hardware.
Accelerated Quality-Diversity
🕹️ A diverse suite of scalable reinforcement learning environments in JAX
⚡ Flashbax: Accelerated Replay Buffers in JAX
Code for the paper Refining Minimax Regret for Unsupervised Environment Design (ICML 2024) https://arxiv.org/abs/2402.12284
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
Efficient baselines for autocurricula in JAX.
Benchmarking the Spectrum of Agent Capabilities
Long-Term Evolution Project of Reinforcement Learning
SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning
(Crafter + NetHack) in JAX. ICML 2024 Spotlight.