Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
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Updated
Aug 20, 2024 - Python
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
Walkthroughs for DSL, AirSim, the Vector Institute, and more
GPU-accelerated NeuroEvolution of Augmenting Topologies (NEAT)
a modular reinforcement learning library with JAX agents
💡 Grasp - Pick-and-place with a robotic hand 👨🏻💻
Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Framework for Disease Detection from Chest X-rays
Relentlessly learning, persistently failing, but never surrendering.
GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA.
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.
Simple implementations of Cartesian Genetic Programming (CGP) and Linear Genetic Programming (LGP) in JAX
The Simple Simulator: Simulation Made Simple
Procedural Environment Generation for Accelerated Multi-Agent Reinforcement Learning
[ICML 2024] Official environments and JAX-implementations for "Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments"
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