2 papers
cs.LG2026
Theoretical Foundations and Effective Algorithms for Policy-Aware Simulator Learning
Christoph Dann, Yishay Mansour, Mehryar Mohri
Model-based reinforcement learning (MBRL) agents typically learn world models by minimizing predictive loss. However, powerful RL optimizers inevitably exploit minor model inaccura…
stat.ML2024
Rate-Preserving Reductions for Blackwell Approachability
Christoph Dann, Yishay Mansour, Mehryar Mohri +2
Abernethy et al. (2011) showed that Blackwell approachability and no-regret learning are equivalent, in the sense that any algorithm that solves a specific Blackwell approachabilit…