
Exploiting Submodular Value Functions For Scaling Up Active Perception
In active perception tasks, an agent aims to select sensory actions that...
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MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
This paper introduces MDP homomorphic networks for deep reinforcement le...
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Sensor Data for Human Activity Recognition: Feature Representation and Benchmarking
The field of Human Activity Recognition (HAR) focuses on obtaining and a...
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Diversity in Action: GeneralSum MultiAgent Continuous Inverse Optimal Control
Traffic scenarios are inherently interactive. Multiple decisionmakers p...
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Mimicking Evolution with Reinforcement Learning
Evolution gave rise to human and animal intelligence here on Earth. We a...
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A Sufficient Statistic for Influence in Structured Multiagent Environments
Making decisions in complex environments is a key challenge in artificia...
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The Representational Capacity of ActionValue Networks for MultiAgent Reinforcement Learning
Recent years have seen the application of deep reinforcement learning te...
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Learning from Demonstration in the Wild
Learning from demonstration (LfD) is useful in settings where handcodin...
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Beyond Local Nash Equilibria for Adversarial Networks
Save for some special cases, current training methods for Generative Adv...
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Learning in POMDPs with Monte Carlo Tree Search
The POMDP is a powerful framework for reasoning under outcome and inform...
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GANGs: Generative Adversarial Network Games
Generative Adversarial Networks (GAN) have become one of the most succes...
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Structure in the Value Function of TwoPlayer ZeroSum Games of Incomplete Information
Zerosum stochastic games provide a rich model for competitive decision ...
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Probably Approximately Correct Greedy Maximization
Submodular function maximization finds application in a variety of real...
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Scaling POMDPs For Selecting Sellers in EmarketsExtended Version
In multiagent emarketplaces, buying agents need to select good sellers ...
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Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs (Extended Version)
Many exact and approximate solution methods for Markov Decision Processe...
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Solving TransitionIndependent Multiagent MDPs with Sparse Interactions (Extended version)
In cooperative multiagent sequential decision making under uncertainty,...
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InfluenceOptimistic Local Values for Multiagent Planning  Extended Version
Recent years have seen the development of methods for multiagent plannin...
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Scalable Planning and Learning for Multiagent POMDPs: Extended Version
Online, samplebased planning algorithms for POMDPs have shown great pro...
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Exploiting Structure in Cooperative Bayesian Games
Cooperative Bayesian games (BGs) can model decisionmaking problems for ...
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Optimal and Approximate Qvalue Functions for Decentralized POMDPs
Decisiontheoretic planning is a popular approach to sequential decision...
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Exploiting Agent and Type Independence in Collaborative Graphical Bayesian Games
Efficient collaborative decision making is an important challenge for mu...
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