Walkthroughs for DSL, AirSim, the Vector Institute, and more
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Updated
Mar 31, 2022 - C++
Walkthroughs for DSL, AirSim, the Vector Institute, and more
Procedural Environment Generation for Accelerated Multi-Agent Reinforcement Learning
a modular reinforcement learning library with JAX agents
💡 Grasp - Pick-and-place with a robotic hand 👨🏻💻
Simple implementations of Cartesian Genetic Programming (CGP) and Linear Genetic Programming (LGP) in JAX
Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Framework for Disease Detection from Chest X-rays
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.
Relentlessly learning, persistently failing, but never surrendering.
GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA.
GPU-accelerated NeuroEvolution of Augmenting Topologies (NEAT)
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
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