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Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
Walkthroughs for DSL, AirSim, the Vector Institute, and more
The Simple Simulator: Simulation Made Simple
GPU-accelerated NeuroEvolution of Augmenting Topologies (NEAT)
a modular reinforcement learning library with JAX agents
GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA.
Simple implementations of Cartesian Genetic Programming (CGP) and Linear Genetic Programming (LGP) in JAX
💡 Grasp - Pick-and-place with a robotic hand 👨🏻💻
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.
[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
Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Framework for Disease Detection from Chest X-rays