157 citations · 352 across the 23 of their papers we have counts for
3 papers · 1 filter
Apprenticeship Learning using Inverse Reinforcement Learning and Gradient Methods
Gergely Neu, Csaba Szepesvari
In this paper we propose a novel gradient algorithm to learn a policy from an expert's observed behavior assuming that the expert behaves optimally with respect to some unknown rew…
Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstractions
Alejandro Isaza, Csaba Szepesvari, Vadim Bulitko +1
In this paper, we consider planning in stochastic shortest path (SSP) problems, a subclass of Markov Decision Problems (MDP). We focus on medium-size problems whose state space can…
PAC-Bayesian Policy Evaluation for Reinforcement Learning
Mahdi MIlani Fard, Joelle Pineau, Csaba Szepesvari
Bayesian priors offer a compact yet general means of incorporating domain knowledge into many learning tasks. The correctness of the Bayesian analysis and inference, however, large…