Quality Diversity

Topics

Notes

Linked

Open-Endedness Quality Diversity
Minimal Criterion Coevolution

Evolve diverse populations of challenges and agents without an archive or pre-defined behavioral dimensions.

MAP-Elites
Open-Endedness Reinforcement Learning Quality Diversity Exploration
Go-Explore

How to explore RL search space better than intrinsic motivation.

MAP-Elites PPO - Proximal Policy Optimization Monte-Carlo Tree Search
Open-Endedness Quality Diversity Self Play
Foundation Model Self-Play (FMSP)

Learn policy in open-ended loop with self-play and LLMs.

Darwin Godel Machine (DGM) MAP-Elites
Open-Endedness Quality Diversity
MAP-Elites

Create and maintain rich diversity of high performing solutions, often outperforming direct performance optimization.

Go-Explore AlphaEvolve Gaussian Processes Challenges of optimizing deep models Stochastic Gradient Descent