luchris429 / purejaxrlLinks
Really Fast End-to-End Jax RL Implementations
β981Updated last year
Alternatives and similar repositories for purejaxrl
Users that are interested in purejaxrl are comparing it to the libraries listed below
Sorting:
- RL Environments in JAX πβ834Updated 6 months ago
- Multi-Agent Reinforcement Learning with JAXβ692Updated 2 weeks ago
- πΉοΈ A diverse suite of scalable reinforcement learning environments in JAXβ780Updated 3 weeks ago
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.β729Updated 3 years ago
- ποΈA research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX β’ End-to-End JAX RLβ372Updated last month
- SBX: Stable Baselines Jax (SB3 + Jax) RL algorithmsβ531Updated last month
- βοΈ Vectorized RL game environments in JAXβ550Updated 8 months ago
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.β855Updated last year
- LeanRL is a fork of CleanRL, where selected PyTorch scripts optimized for performance using compile and cudagraphs.β657Updated 3 months ago
- Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hβ¦β848Updated this week
- A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilitiesβ460Updated last month
- High throughput synchronous and asynchronous reinforcement learningβ958Updated 2 weeks ago
- Distributed Reinforcement Learning accelerated by Lightning Fabricβ407Updated last week
- A suite of test scenarios for multi-agent reinforcement learning.β763Updated this week
- (Crafter + NetHack) in JAX. ICML 2024 Spotlight.β353Updated 4 months ago
- β‘ Flashbax: Accelerated Replay Buffers in JAXβ264Updated 2 months ago
- Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.β916Updated last year
- Library for Model Based RLβ1,033Updated last year
- Accelerated Quality-Diversityβ329Updated last month
- Evolution Strategies in JAX π¦β690Updated 2 months ago
- C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.β1,212Updated last year
- π¦ A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAXβ860Updated this week
- Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!β246Updated last month
- β242Updated last year
- Benchmarking the Spectrum of Agent Capabilities