[ICML 2024] Official environments and JAX-implementations for "Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments"
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Updated
Jul 18, 2024 - Python
[ICML 2024] Official environments and JAX-implementations for "Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments"
Procedural Environment Generation for Accelerated Multi-Agent Reinforcement Learning
GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA.
Relentlessly learning, persistently failing, but never surrendering.
Simple implementations of Cartesian Genetic Programming (CGP) and Linear Genetic Programming (LGP) in JAX
The Simple Simulator: Simulation Made Simple
An implementation of Short Horizon Actor Critic writen in Jax. Core algorithm written in the style of Brax, with several bits taken from Xu's original paper.
Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Framework for Disease Detection from Chest X-rays
💡 Grasp - Pick-and-place with a robotic hand 👨🏻💻
a modular reinforcement learning library with JAX agents
GPU-accelerated NeuroEvolution of Augmenting Topologies (NEAT)
Walkthroughs for DSL, AirSim, the Vector Institute, and more
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
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