99 citations · 196 across the 39 of their papers we have counts for
52 papers
Sub-optimality bounds for certainty equivalent policies in partially observed systems
Berk Bozkurt, Aditya Mahajan, Ashutosh Nayyar +1
In this paper, we present a generalization of the certainty equivalence principle of stochastic control. One interpretation of the classical certainty equivalence principle for lin…
Model approximation in MDPs with unbounded per-step cost
Berk Bozkurt, Aditya Mahajan, Ashutosh Nayyar +1
We consider the problem of designing a control policy for an infinite-horizon discounted cost Markov decision process when we only have access to an approximate model…
Posterior Sampling-based Online Learning for Episodic POMDPs
Dengwang Tang, Dongze Ye, Rahul Jain +2
Learning in POMDPs is known to be significantly harder than in MDPs. In this paper, we consider the online learning problem for episodic POMDPs with unknown transition and observat…
Conditional Kernel Imitation Learning for Continuous State Environments
Rishabh Agrawal, Nathan Dahlin, Rahul Jain +1
Imitation Learning (IL) is an important paradigm within the broader reinforcement learning (RL) methodology. Unlike most of RL, it does not assume availability of reward-feedback.…
Optimal Symmetric Strategies in Multi-Agent Systems with Decentralized Information
Sagar Sudhakara, Ashutosh Nayyar
We consider a cooperative multi-agent system consisting of a team of agents with decentralized information. Our focus is on the design of symmetric (i.e. identical) strategies for…
Optimal Control of Logically Constrained Partially Observable and Multi-Agent Markov Decision Processes
Krishna C. Kalagarla, Dhruva Kartik, Dongming Shen +3
Autonomous systems often have logical constraints arising, for example, from safety, operational, or regulatory requirements. Such constraints can be expressed using temporal logic…