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10/28/2022
Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution Concept over Nash Equilibria
Multiagent learning settings are inherently more difficult than single-a...
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03/10/2022
City-wide Street-to-Satellite Image Geolocalization of a Mobile Ground Agent
Cross-view image geolocalization provides an estimate of an agent's glob...
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03/07/2022
Influencing Long-Term Behavior in Multiagent Reinforcement Learning
The main challenge of multiagent reinforcement learning is the difficult...
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09/21/2021
Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC
We propose a demonstration-efficient strategy to compress a computationa...
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09/20/2021
Context-Specific Representation Abstraction for Deep Option Learning
Hierarchical reinforcement learning has focused on discovering temporall...
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09/14/2021
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation
In a multirobot system, a number of cyber-physical attacks (e.g., commun...
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10/31/2020
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
A fundamental challenge in multiagent reinforcement learning is to learn...
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06/19/2020
Set-Invariant Constrained Reinforcement Learning with a Meta-Optimizer
This paper investigates reinforcement learning with safety constraints. ...
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03/15/2019
Policy Distillation and Value Matching in Multiagent Reinforcement Learning
Multiagent reinforcement learning algorithms (MARL) have been demonstrat...
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03/07/2019
Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning
Heterogeneous knowledge naturally arises among different agents in coope...
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05/20/2018
Learning to Teach in Cooperative Multiagent Reinforcement Learning
We present a framework and algorithm for peer-to-peer teaching in cooper...
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11/28/2017
Crossmodal Attentive Skill Learner
This paper presents the Crossmodal Attentive Skill Learner (CASL), integ...
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04/04/2017