Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
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Updated
Sep 24, 2024 - Python
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
GPU-accelerated NeuroEvolution of Augmenting Topologies (NEAT)
[ICML 2024] Official environments and JAX-implementations for "Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments"
GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA.
Procedural Environment Generation for Accelerated Multi-Agent Reinforcement Learning
The Simple Simulator: Simulation Made Simple
Relentlessly learning, persistently failing, but never surrendering.
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
Simple implementations of Cartesian Genetic Programming (CGP) and Linear Genetic Programming (LGP) in JAX
💡 Grasp - Pick-and-place with a robotic hand 👨🏻💻
a modular reinforcement learning library with JAX agents
Walkthroughs for DSL, AirSim, the Vector Institute, and more
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