luchris429 / purejaxrl
Really Fast End-to-End Jax RL Implementations
â797Updated 4 months ago
Alternatives and similar repositories for purejaxrl:
Users that are interested in purejaxrl are comparing it to the libraries listed below
- RL Environments in JAX đâ680Updated 6 months ago
- Multi-Agent Reinforcement Learning with JAXâ482Updated last week
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.â650Updated 2 years ago
- SBX: Stable Baselines Jax (SB3 + Jax) RL algorithmsâ376Updated this week
- đšī¸ A diverse suite of scalable reinforcement learning environments in JAXâ675Updated last month
- đī¸A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX âĸ End-to-End JAX RLâ263Updated last week
- A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilitiesâ330Updated last week
- High throughput synchronous and asynchronous reinforcement learningâ854Updated 2 weeks ago
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.â797Updated 5 months ago
- Implementation of Dreamer v3 in pytorch.â465Updated 3 months ago
- LeanRL is a fork of CleanRL, where selected PyTorch scripts optimized for performance using compile and cudagraphs.â486Updated 2 months ago
- Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.â628Updated this week
- A collection of MARL benchmarks based on TorchRLâ325Updated this week
- Multi-objective Gymnasium environments for reinforcement learningâ300Updated last month
- â209Updated last month
- C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.â1,116Updated 5 months ago
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of âĻâ366Updated 3 weeks ago
- A suite of test scenarios for multi-agent reinforcement learning.â643Updated last week
- Distributed Reinforcement Learning accelerated by Lightning Fabricâ334Updated this week
- (Crafter + NetHack) in JAX. ICML 2024 Spotlight.â227Updated 3 months ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (âĻâ463Updated 9 months ago
- Library for Model Based RLâ977Updated 6 months ago
- â1,109Updated 7 months ago
- đĻ A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAXâ760Updated this week
- ⥠Flashbax: Accelerated Replay Buffers in JAXâ219Updated this week
- âī¸ Vectorized RL game environments in JAXâ433Updated last month
- The source code for the blog post The 37 Implementation Details of Proximal Policy Optimizationâ671Updated 9 months ago
- Evolution Strategies in JAX đĻâ530Updated last week
- A Python interface for reinforcement learning environmentsâ354Updated 2 years ago
- Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.â878Updated last year