Announcement_5
Excited to share work that will be presented at ICML 2024!
- A Rate-Distortion View of Uncertainty Quantification. Work led by Ifigeneia Apostolopoulou.
- Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making. Work led by Vivek Myers. [Code]
- Learning to Assist Humans without Inferring Rewards. Work led by Vivek Myers and Evan Ellis. At the ICML 2024 Workshop on Models of Human Feedback for AI Alignment.