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
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.
Relentlessly learning, persistently failing, but never surrendering.
💡 Grasp - Pick-and-place with a robotic hand 👨🏻💻
Simple implementations of Cartesian Genetic Programming (CGP) and Linear Genetic Programming (LGP) in JAX
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
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