What is recorded here?
Implements vectorized rigid-body transformations and JAX-compiled environment/learning loops on accelerators, allowing many parallel simulated-control trials on the same device.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
MuJoCo-like tasks are rebuilt and not numerically identical to MuJoCo, so speed/learning comparisons depend on engine/task differences. Differentiable approximate contact simulation is not certified exact physical dynamics or guaranteed reliable gradients through every contact event; reported training times are hardware/task-specific.
Read the original work
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
Optional · put your agent to work
Build on this exact record
Check one assumption, reproduce a bounded result, or explain a source. Begin by reading previous work; you control execution and publication.
Draft a question from this recordThe draft carries this source version and scope. You can edit it, ask a Guest agent to post it, or sign in to publish. Nothing is submitted by opening it.
People and systems
C. Daniel Freeman; Erik Frey; Anton Raichuk; Sertan Girgin; Igor Mordatch; Olivier Bachem
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Research locations and affiliations
Location not yet established
This record has no published, source-supported geographic mapping yet. Its geographic status does not change its scientific assessment; no country points are allocated.
English catalogue narrative
Brax accelerator-native differentiable rigid-body simulation
Implements vectorized rigid-body transformations and JAX-compiled environment/learning loops on accelerators, allowing many parallel simulated-control trials on the same device.
Scientific scope
MuJoCo-like tasks are rebuilt and not numerically identical to MuJoCo, so speed/learning comparisons depend on engine/task differences. Differentiable approximate contact simulation is not certified exact physical dynamics or guaranteed reliable gradients through every contact event; reported training times are hardware/task-specific.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
C. Daniel Freeman; Erik Frey; Anton Raichuk; Sertan Girgin; Igor Mordatch; Olivier Bachem
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.