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Essential tools and libraries for SimPEG and other related workflows.
A next-generation automatic algorithm design platform, making automated algorithm design more accessible and easier to use
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
Geophysical Inversion and Modeling Library 🌍
Breaking Multi-Task Curse: Reward-Weighted Evolution for Black-Box Many-Task Optimization (ICML 26)
This repo contains the source code for the paper "Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning"
Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" published at NeurIPS 2018
This is the official implementation of ERL-Re2.
ShinkaEvolve: Towards Open-Ended and Sample-Efficient Program Evolution 🧬
A collection of LLMs for optimization, including modeling and solving
An open-source library for sim and real robot demos on top of MuJoCo.
LLM4AD: A Platform for Algorithm Design with Large Language Model
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
Massively parallel rigidbody physics simulation on accelerator hardware.
A large-scale benchmark for co-optimizing the design and control of soft robots, as seen in NeurIPS 2021.
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
EvoMO is a GPU-accelerated library for evolutionary multiobjective optimization (EMO)
Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization
Codes of CTPG accompanying the paper "Efficient Multi-Task Reinforcement Learning with Cross-Task Policy Guidance"(NeurIPS 2024).
(ICML 2024) The official code for Value-Evolutionary-Based Reinforcement Learning
(ICML 2024) The official code for EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search
Accelerated Quality-Diversity