• PhD Thesis Defense (June 28, 2023)
• Generally Intelligent Podcast (March 22, 2023)
• The Information Geometry of Unsupervised Reinforcement Learning (oral at ICLR 2022)
• Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification (oral at NeurIPS 2021)
• C-Learning: Learning to Achieve Goals via Recursive Classification (ICLR 2021)
• Diversity is All You Need (Eindhoven Reinforcement Learning Seminar)
• Talk RL Podcast (March 30, 2020)
• Rewriting Experience with Inverse RL: Hindsight Inference for Policy Improvement (oral at NeurIPS 2020)