Abhinav Bhatia

Selecting the Partial State Abstractions of MDPs: A Metareasoning Approach with Deep Reinforcement Learning

Markov decision processes (MDPs) are a common general-purpose model used in robotics for representing sequential decision-making problems. Given the complexity of robotics applications, a popular approach for approximately solving MDPs relies on state aggregation to reduce the size of the state spac…