Eclectic-Sheep / sheeprlLinks
Distributed Reinforcement Learning accelerated by Lightning Fabric
â380Updated 2 weeks ago
Alternatives and similar repositories for sheeprl
Users that are interested in sheeprl are comparing it to the libraries listed below
Sorting:
- SBX: Stable Baselines Jax (SB3 + Jax) RL algorithmsâ467Updated this week
- đī¸A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX âĸ End-to-End JAX RLâ335Updated last week
- A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilitiesâ398Updated 2 weeks ago
- Multi-Agent Reinforcement Learning with JAXâ595Updated 2 weeks ago
- (Crafter + NetHack) in JAX. ICML 2024 Spotlight.â317Updated 3 weeks ago
- LeanRL is a fork of CleanRL, where selected PyTorch scripts optimized for performance using compile and cudagraphs.â597Updated 7 months ago
- RL Environments in JAX đâ771Updated 3 weeks ago
- An API conversion tool for popular external reinforcement learning environmentsâ173Updated 5 months ago
- Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!â226Updated 3 weeks ago
- â232Updated 7 months ago
- Multi-objective Gymnasium environments for reinforcement learningâ331Updated 3 months ago
- đšī¸ A diverse suite of scalable reinforcement learning environments in JAXâ737Updated this week
- ⥠Flashbax: Accelerated Replay Buffers in JAXâ238Updated 2 months ago
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.â685Updated 2 years ago
- Really Fast End-to-End Jax RL Implementationsâ898Updated 9 months ago
- Simple single-file baselines for Q-Learning in pure-GPU settingâ172Updated 3 months ago
- Partially Observable Process Gymâ193Updated last week
- Implementation of Dreamer v3 in pytorch.â577Updated 8 months ago
- A collection of MARL benchmarks based on TorchRLâ414Updated last month
- Accelerated Quality-Diversityâ304Updated last week
- PyTorch implementation of DreamerV2 model-based RL algorithmâ219Updated 2 years ago
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.â833Updated 10 months ago
- Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.â303Updated last year
- Benchmarking the Spectrum of Agent Capabilitiesâ454Updated last year
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of âĻâ433Updated 2 weeks ago
- Accelerated minigrid environments with JAXâ139Updated 2 weeks ago
- Deep reinforcement learning without experience replay, target networks, or batch updates.â254Updated 3 months ago
- A Simplified Pytorch Version of the Dreamer Algorithmâ128Updated last year
- Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.â783Updated this week
- A suite of test scenarios for multi-agent reinforcement learning.â711Updated 3 weeks ago