FLAIROx / JaxMARL
Multi-Agent Reinforcement Learning with JAX
☆575Updated this week
Alternatives and similar repositories for JaxMARL
Users that are interested in JaxMARL are comparing it to the libraries listed below
Sorting:
- Really Fast End-to-End Jax RL Implementations☆870Updated 8 months ago
- A collection of MARL benchmarks based on TorchRL☆393Updated last week
- RL Environments in JAX 🌍☆744Updated 10 months ago
- SBX: Stable Baselines Jax (SB3 + Jax) RL algorithms☆440Updated 2 weeks ago
- A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities☆382Updated this week
- 🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL☆322Updated last week
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆678Updated 2 years ago
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of …☆422Updated last week
- ☆228Updated 5 months ago
- Multi-objective Gymnasium environments for reinforcement learning☆318Updated 2 months ago
- ⚡ Flashbax: Accelerated Replay Buffers in JAX☆235Updated last month
- A suite of test scenarios for multi-agent reinforcement learning.☆696Updated last week
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments☆283Updated 2 months ago
- 🕹️ A diverse suite of scalable reinforcement learning environments in JAX☆725Updated last week
- Official code repo for the MARL book (www.marl-book.com)☆486Updated last month
- Implementation of Dreamer v3 in pytorch.☆557Updated 7 months ago
- (Crafter + NetHack) in JAX. ICML 2024 Spotlight.☆312Updated 2 months ago
- 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX☆793Updated this week
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.☆829Updated 9 months ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆594Updated 7 months ago
- ☆246Updated last year
- Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!☆205Updated last month
- A Python interface for reinforcement learning environments☆364Updated 2 years ago
- Datasets with baselines for offline multi-agent reinforcement learning.☆167Updated this week
- Level-based Foraging (LBF): A multi-agent environment for RL☆180Updated 7 months ago
- Benchmarking the Spectrum of Agent Capabilities☆437Updated last year
- ☆1,174Updated 11 months ago
- NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark☆449Updated 2 months ago
- Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.☆751Updated last week
- Partially Observable Process Gym☆189Updated 10 months ago