RL Environments in JAX
Reinforcement Learning environments written in JAX.
- Brax- Massively parallel rigidbody physics simulation on accelerator hardware. 
- Evojax- EvoJAX is a scalable, general purpose, hardware-accelerated neuroevolution toolkit. 
- Evorl- EvoRL is a fully GPU-accelerated framework for Evolutionary Reinforcement Learning, implemented with JAX 
- Gymnax- RL Environments in JAX. 
- JaxMARL- Multi-Agent Reinforcement Learning with JAX 
- Jumanji- A diverse suite of scalable reinforcement learning environments in JAX. 
- Kinetix- Reinforcement learning on general 2D physics environments in JAX. 
- Navix- Accelerated minigrid environments with JAX 
- Pgx- Vectorized RL game environments in JAX 
- popjym- POPGym Library in JAX 
- XLand-MiniGrid- JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid