MJX
A JAX implementation of MuJoCo that supports running large numbers of simulation environments in parallel on GPUs, used to accelerate reinforcement learning training.
Timeline (last 90 days)
Bitbots is based on MuJoCo simulation and trains on GPU via MJX's Warp backend.
MJX is the JAX implementation of MuJoCo and supports running large numbers of simulation environments in parallel on GPU.
MJX's Warp backend combines JAX's automatic differentiation with Warp's GPU kernels, further improving simulation speed.
Google DeepMind introduced MJX (MuJoCo XLA) and Brax, both based on JAX, compiling physics simulation into computation graphs that can be efficiently executed on GPUs/TPUs.
All Facts (4)
Bitbots is based on MuJoCo simulation and trains on GPU via MJX's Warp backend.
50%UnverifiedMJX is the JAX implementation of MuJoCo and supports running large numbers of simulation environments in parallel on GPU.
50%UnverifiedMJX's Warp backend combines JAX's automatic differentiation with Warp's GPU kernels, further improving simulation speed.
50%UnverifiedGoogle DeepMind introduced MJX (MuJoCo XLA) and Brax, both based on JAX, compiling physics simulation into computation graphs that can be efficiently executed on GPUs/TPUs.
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