497 citations · 2.1k across the 297 of their papers we have counts for
6 papers · 2 filters
Online Active Perception for Partially Observable Markov Decision Processes with Limited Budget
Mahsa Ghasemi, Ufuk Topcu
Active perception strategies enable an agent to selectively gather information in a way to improve its performance. In applications in which the agent does not have prior knowledge…
Transfer of Temporal Logic Formulas in Reinforcement Learning
Zhe Xu, Ufuk Topcu
Transferring high-level knowledge from a source task to a target task is an effective way to expedite reinforcement learning (RL). For example, propositional logic and first-order…
Joint Inference of Reward Machines and Policies for Reinforcement Learning
Zhe Xu, Ivan Gavran, Yousef Ahmad +4
Incorporating high-level knowledge is an effective way to expedite reinforcement learning (RL), especially for complex tasks with sparse rewards. We investigate an RL problem where…
Reward-Based Deception with Cognitive Bias
Bo Wu, Murat Cubuktepe, Suda Bharadwaj +1
Deception plays a key role in adversarial or strategic interactions for the purpose of self-defence and survival. This paper introduces a general framework and solution to address…
Counterexample-Guided Strategy Improvement for POMDPs Using Recurrent Neural Networks
Steven Carr, Nils Jansen, Ralf Wimmer +3
We study strategy synthesis for partially observable Markov decision processes (POMDPs). The particular problem is to determine strategies that provably adhere to (probabilistic) t…
Distributed Synthesis of Surveillance Strategies for Mobile Sensors
Suda Bharadwaj, Rayna Dimitrova, Ufuk Topcu
We study the problem of synthesizing strategies for a mobile sensor network to conduct surveillance in partnership with static alarm triggers. We formulate the problem as a multi-a…