Activities

Talks

• TAG: A Hierarchical Approach to Intelligence
  An invited talk at Michael Levin’s lab about biologically inspired, decentralized hierarchies for multi-agent systems.
  [Watch the talk]

• The Next Step for AI Is Embodiment
  A talk hosted by BuzzRobot on the case for embodied AI and the roles of perception, action, memory, and learning in intelligent systems.
  [Watch the talk]

• Learning in Sparse-Reward Settings through Quality-Diversity Algorithms
  A presentation for the Robotics Reading Group on exploration, novelty search, and learning when rewards are rare.
  [Watch the talk] • [View the slides]

• Embodied AI with Giuseppe Paolo and Jonas Gonzalez
  A conversation for I, Scientist about the limits of current AI and the importance of embodiment, agency, and interaction.
  [Watch the conversation]

• I, Scientist
  A longer conversation about my research background and my work in reinforcement learning and embodied AI.
  [Watch the interview]

Workshops and Editorial Activities

• Evolutionary Reinforcement Learning Workshop — GECCO 2021 and 2022
  I co-organized two editions of this workshop, bringing together researchers working at the intersection of evolutionary computation and reinforcement learning.
  [Visit the workshop website]

• Special Issue on Evolutionary Reinforcement Learning
  I co-edited this special issue of ACM Transactions on Evolutionary Learning and Optimization, focused on the growing connections between evolutionary computation and reinforcement learning.
  [View the special issue]