Projects in Awesome Lists tagged with multi-objective

https://github.com/lucasalegre/morl-baselines

Multi-Objective Reinforcement Learning algorithms implementations.

gym gymnasium mo-gymnasium morl multi-objective multi-objective-rl pytorch reinforcement-learning rl rl-algorithms

Last synced: 15 May 2025

https://github.com/farama-foundation/mo-gymnasium

Multi-objective Gymnasium environments for reinforcement learning

gym gym-environments gymnasium morl multi-objective multi-objective-rl reinforcement-learning

Last synced: 03 Jul 2025

https://github.com/dietmarwo/fast-cma-es

A Python 3 gradient-free optimization library

multi-objective optimization parallel quality-diversity

Last synced: 21 Feb 2026

https://github.com/moead-framework/framework

MOEA/D is a general-purpose algorithm framework. It decomposes a multi-objective optimization problem into a number of single-objective optimization sub-problems and then uses a search heuristic to optimize these sub-problems simultaneously and cooperatively.

framework modular-framework moea moead multi-objective multi-objective-optimization operations-research pypi python

Last synced: 14 Jan 2026

https://github.com/realvnf/deepcoord

DeepCoord: Self-Learning Network and Service Coordination Using Deep Reinforcement Learning

coordination ddpg deep-reinforcement-learning keras multi-objective networking optimization python research self-learning service-coordination tensorflow

Last synced: 26 Oct 2025

https://github.com/lucasalegre/sfols

Code for the paper Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer - ICML 2022

icml icml-2022 multi-objective multi-objective-rl reinforcement-learning rl successor-features successor-representation transfer-learning

Last synced: 11 Mar 2026

https://github.com/wilrop/moqups

An algorithm to calculate all pure strategy Nash equilibria in multi-objective games with quasiconvex utility functions

algorithmic-game-theory game-theory multi-objective

Last synced: 23 Aug 2025

https://github.com/wilrop/ramo

Algorithms for computing or learning equilibria in multi-objective games

algorithmic-game-theory game-theory multi-agent multi-objective reinforcement-learning

Last synced: 07 May 2025

https://github.com/thomasweise/bbdob_w_model

The W-Model, a tunable Black-Box Discrete Optimization Benchmarking (BB-DOB) problem, implemented for the BB-DOB@GECCO Workshop.

benchmark benchmark-problem black-box-benchmarking combinatorial-optimization deterministic discrete-mathematics epistasis evolutionary-algorithm experiments fitness-landscape hill-climber local-search multi-objective multi-objectivity neutrality noise non-separability random-walk ruggedness

Last synced: 07 May 2025

https://github.com/timm/ezr

Explanation system for semi-supervised multi-objective optimization

active-learning ai easier explanation multi-objective optimization python refactoring-exercise semi-supervised-learning teaching

Last synced: 09 Apr 2025

https://github.com/sumny/eagga

Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models

automl hpo hyperparameter-optimization hyperparameter-tuning interpretable-machine-learning machine-learning multi-objective multiobjective optimization r r-package tabular-data tuning xai xgboost

Last synced: 08 Apr 2025

https://github.com/timm/l5

A lean little learning library, in LUA.

explanation fun lua multi-objective semi-supervised teaching

Last synced: 12 Feb 2026

https://github.com/levitation-opensource/bioblue

Notable runaway-optimiser-like LLM failure modes on Biologically and Economically aligned AI safety benchmarks for LLM-s with simplified observation format. The benchmark themes include multi-objective homeostasis, (multi-objective) diminishing returns, complementary goods, sustainability, multi-agent resource sharing.

ai-alignment ai-safety benchmarking complementary-goods diminishing-returns homeostasis llm-benchmarking multi-agent multi-objective python sustainability