14 citations · 33 across the 12 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.LG2023
Multi-Bellman operator for convergence of -learning with linear function approximation
Diogo S. Carvalho, Pedro A. Santos, Francisco S. Melo
We study the convergence of -learning with linear function approximation. Our key contribution is the introduction of a novel multi-Bellman operator that extends the traditional…
cs.LG2023
Interactively Teaching an Inverse Reinforcement Learner with Limited Feedback
Rustam Zayanov, Francisco S. Melo, Manuel Lopes
We study the problem of teaching via demonstrations in sequential decision-making tasks. In particular, we focus on the situation when the teacher has no access to the learner's mo…