JAX Multi-Agent RL, Neuro-Evolution, and A-Life Library
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Updated
Sep 26, 2024 - Python
JAX Multi-Agent RL, Neuro-Evolution, and A-Life Library
High-performance JAX-powered simulator for robotic navigation in 2D mazes, optimized for Quality-Diversity algorithm research and benchmarking.
Leveraging network motifs to improve artificial neural networks
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
Accelerated Quality-Diversity
DCG-MAP-Elites GECCO 2023 Best Paper Award + DCRL-MAP-Elites ACM TELO 2024
GPU-accelerated NeuroEvolution of Augmenting Topologies (NEAT)
A game that is developed as an assignment for Computer Intelligence course.
A Comparative Study of Multi-Objective and Neuroevolutionary-based Reinforcement Learning Algorithms for Optimizing Electric Vehicle Charging and Grid Stability
My beautiful Neural Network made from scratch and love. It plays the game Flappy-Birds flawlessly, in 3 to 9 generations!!
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
NeuroEvolution Optimization with Reinforcement Learning
PushGP Neuroevolution Framework
FastNode: A Neuro-Graphic Self-Learnable Engine for Cognitive GUI Automation
An AI that plays flappy bird using neuroevolution
A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm
olfactory tracking with a focus on bioplausibility: genetic algorithm, spiking neural network, reinforcement learning
GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA.
A humple implementation of the NeuroEvolution of Augmenting Topologies[NEAT] algorithm written purely in Python3.
Official repository of ICML'24 paper "Quality-Diversity with Limited Resources".
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