4 papers
Deep Reinforcement Learning and The Tale of Two Temporal Difference Errors
Juan Sebastian Rojas, Chi-Guhn Lee
The temporal difference (TD) error was first formalized in Sutton (1988), where it was first characterized as the difference between temporally successive predictions, and later, i…
Hypernetwork-based approach for optimal composition design in partially controlled multi-agent systems
Kyeonghyeon Park, David Molina Concha, Hyun-Rok Lee +2
Partially Controlled Multi-Agent Systems (PCMAS) are comprised of controllable agents, managed by a system designer, and uncontrollable agents, operating autonomously. This study a…
Bayesian Optimization Framework for Efficient Fleet Design in Autonomous Multi-Robot Exploration
David Molina Concha, Jiping Li, Haoran Yin +5
This study addresses the challenge of fleet design optimization in the context of heterogeneous multi-robot fleets, aiming to obtain feasible designs that balance performance and c…
Algorithmic Contract Design with Reinforcement Learning Agents
David Molina Concha, Kyeonghyeon Park, Hyun-Rok Lee +2
We introduce a novel problem setting for algorithmic contract design, named the principal-MARL contract design problem. This setting extends traditional contract design to account…