araffin / sbx
SBX: Stable Baselines Jax (SB3 + Jax) RL algorithms
☆440Updated last week
Alternatives and similar repositories for sbx:
Users that are interested in sbx are comparing it to the libraries listed below
- RL Environments in JAX 🌍☆744Updated 10 months ago
- A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities☆379Updated 2 weeks ago
- ☆226Updated 5 months ago
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆675Updated 2 years ago
- Multi-Agent Reinforcement Learning with JAX☆571Updated this week
- Multi-objective Gymnasium environments for reinforcement learning☆317Updated 2 months ago
- 🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL☆323Updated last week
- Really Fast End-to-End Jax RL Implementations☆867Updated 7 months ago
- An API conversion tool for popular external reinforcement learning environments☆164Updated 4 months ago
- Partially Observable Process Gym☆188Updated 10 months ago
- Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!☆205Updated last month
- Implementation of Dreamer v3 in pytorch.☆550Updated 7 months ago
- A framework for Reinforcement Learning research.☆148Updated last month
- Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.☆301Updated last year
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆588Updated last month
- ☆299Updated 4 months ago
- Baseline implementation of recurrent PPO using truncated BPTT☆142Updated last year
- PyTorch implementation of DreamerV2 model-based RL algorithm☆217Updated 2 years ago
- A Python interface for reinforcement learning environments☆364Updated 2 years ago
- ⚡ Flashbax: Accelerated Replay Buffers in JAX☆234Updated last month
- A collection of robotics simulation environments for reinforcement learning☆676Updated last month
- Imitation learning algorithms☆522Updated last month
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of …☆418Updated this week
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆175Updated 10 months ago
- DrQ-v2: Improved Data-Augmented Reinforcement Learning☆387Updated 2 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆317Updated 8 months ago
- Dream to Control: Learning Behaviors by Latent Imagination☆536Updated 3 years ago
- Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab☆752Updated 2 weeks ago
- (Crafter + NetHack) in JAX. ICML 2024 Spotlight.☆311Updated 2 months ago
- A collection of MARL benchmarks based on TorchRL☆389Updated this week