Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)
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Updated
Nov 9, 2023 - Python
Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)
LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.
Overparameterization and overfitting are common concerns when designing and training deep neural networks. Network pruning is an effective strategy used to reduce or limit the network complexity, but often suffers from time and computational intensive procedures to identify the most important connections and best performing hyperparameters. We s…
Extended, multi-agent and multi-objective (MaMoRL / MoMaRL) environments based on DeepMind's AI Safety Gridworlds. This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents. It is made compatible with OpenAI's Gym/Gymnasium and Farama Foundation PettingZoo.
Code for "Budgeted Classification with Rejection: An Evolutionary Method with Multiple Objectives", at IEEE CEC 2022
Multi-objective Machine Unlearning
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