2 papers
eess.SY2024
Agent-state based policies in POMDPs: Beyond belief-state MDPs
Amit Sinha, Aditya Mahajan
The traditional approach to POMDPs is to convert them into fully observed MDPs by considering a belief state as an information state. However, a belief-state based approach require…
cs.LG2020
Approximate information state for approximate planning and reinforcement learning in partially observed systems
Jayakumar Subramanian, Amit Sinha, Raihan Seraj +1
We propose a theoretical framework for approximate planning and learning in partially observed systems. Our framework is based on the fundamental notion of information state. We pr…