Multi-Objective Reinforcement Learning algorithms implementations.

Multi-objective Gymnasium environments for reinforcement learning

A Python 3 gradient-free optimization library

AutoOED: Automated Optimal Experimental Design Platform

[ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control

A Machine Learning and Optimization framework for Objective-C and Swift (MacOS and iOS)

[NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations

A dependency free library of standardized optimization test functions written in pure Python.

Genetic Algorithm (GA) for a Multi-objective Optimization Problem (MOP)

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.

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

No description provided.

Surrogate-Based Architecture Optimization toolbox

Bayesian Optimization and Uncertainty Analyses Tools

Paxplot is a Python visualization library for parallel axis, or parallel coordinate, plots.

Python Multi-Objective Simulation Optimization: a package for using, implementing, and testing simulation optimization algorithms.

Safety challenges for RL and LLM agents' ability to learn and use biologically and economically aligned utility functions. The benchmarks are implemented in a gridworld-based environment. The environments are relatively simple, just as much complexity is added as is necessary to illustrate the relevant safety and performance aspects.

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

Multi-Objective Hardware-Mapping Co-Optimisation for Multi-DNN Workloads on Chiplet-based Accelerators

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

Multi-Objective Multi-Armed Bandit

A Java gradient-free optimization library

2D and 3D plots of linear/integer programming models in R

Multi-Objective Design using Sequential Quadratic programming

Explanation system for semi-supervised multi-objective optimization

Multi-objective Bayesian optimisation framework.

Algorithms for computing or learning equilibria in multi-objective games

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

Systematic 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.

Code for Paper "Gridless Evolutionary Approach for Line Spectral Estimation With Unknown Model Order"