All Stories

  1. Preference-Conditioned Gradient Variations for Multi-Objective Quality-Diversity
  2. A Path to Universal Neural Cellular Automata
  3. Dominated Novelty Search: Rethinking Local Competition in Quality-Diversity
  4. Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral Variations
  5. Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning
  6. MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy