1 citations · 1 across the 10 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.LG2025
Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration
Heyang Zhao, Xingrui Yu, David M. Bossens +2
Imitation learning is a central problem in reinforcement learning where the goal is to learn a policy that mimics the expert's behavior. In practice, it is often challenging to lea…
cs.LG2025
Mirror Descent Policy Optimisation for Robust Constrained Markov Decision Processes
David M. Bossens, Atsushi Nitanda
Safety is an essential requirement for reinforcement learning systems. The newly emerging framework of robust constrained Markov decision processes allows learning policies that sa…