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12/15/2022
Rollout Algorithms and Approximate Dynamic Programming for Bayesian Optimization and Sequential Estimation
We provide a unifying approximate dynamic programming framework that app...
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11/28/2022
Multiagent Reinforcement Learning for Autonomous Routing and Pickup Problem with Adaptation to Variable Demand
We derive a learning framework to generate routing/pickup policies for a...
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11/15/2022
Reinforcement Learning Methods for Wordle: A POMDP/Adaptive Control Approach
In this paper we address the solution of the popular Wordle puzzle, usin...
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07/19/2022
New Auction Algorithms for Path Planning, Network Transport, and Reinforcement Learning
We consider some classical optimization problems in path planning and ne...
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08/20/2021
Lessons from AlphaZero for Optimal, Model Predictive, and Adaptive Control
In this paper we aim to provide analysis and insights (often based on vi...
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07/22/2021
Distributed Asynchronous Policy Iteration for Sequential Zero-Sum Games and Minimax Control
We introduce a contractive abstract dynamic programming framework and re...
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06/01/2021
On-Line Policy Iteration for Infinite Horizon Dynamic Programming
In this paper we propose an on-line policy iteration (PI) algorithm for ...
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11/09/2020
Multiagent Rollout and Policy Iteration for POMDP with Application to Multi-Robot Repair Problems
In this paper we consider infinite horizon discounted dynamic programmin...
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05/04/2020
Multiagent Value Iteration Algorithms in Dynamic Programming and Reinforcement Learning
We consider infinite horizon dynamic programming problems, where the con...
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02/18/2020
Constrained Multiagent Rollout and Multidimensional Assignment with the Auction Algorithm
We consider an extension of the rollout algorithm that applies to constr...
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02/11/2020
Reinforcement Learning for POMDP: Partitioned Rollout and Policy Iteration with Application to Autonomous Sequential Repair Problems
In this paper we consider infinite horizon discounted dynamic programmin...
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10/06/2019
Biased Aggregation, Rollout, and Enhanced Policy Improvement for Reinforcement Learning
We propose a new aggregation framework for approximate dynamic programmi...
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09/30/2019
Multiagent Rollout Algorithms and Reinforcement Learning
We consider finite and infinite horizon dynamic programming problems, wh...
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07/11/2012
