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08/28/2023
Cognitive Effects in Large Language Models
Large Language Models (LLMs) such as ChatGPT have received enormous atte...
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08/11/2023
Contrastive Explanations of Multi-agent Optimization Solutions
In many real-world scenarios, agents are involved in optimization proble...
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05/17/2023
Explainable Multi-Agent Reinforcement Learning for Temporal Queries
As multi-agent reinforcement learning (MARL) systems are increasingly de...
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04/29/2023
A Coupled Flow Approach to Imitation Learning
In reinforcement learning and imitation learning, an object of central i...
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01/15/2023
Cooperative Concurrent Games
In rational verification, the aim is to verify which temporal logic prop...
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11/30/2022
Resource Sharing Through Multi-Round Matchings
Applications such as employees sharing office spaces over a workweek can...
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10/31/2022
Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence
In September 2016, Stanford's "One Hundred Year Study on Artificial Inte...
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09/12/2022
Efficient Customer Service Combining Human Operators and Virtual Agents
The prospect of combining human operators and virtual agents (bots) into...
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09/12/2022
Resource Allocation to Agents with Restrictions: Maximizing Likelihood with Minimum Compromise
Many scenarios where agents with restrictions compete for resources can ...
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08/29/2022
Enjoy the Ride Consciously with CAWA: Context-Aware Advisory Warnings for Automated Driving
In conditionally automated driving, drivers decoupled from driving while...
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07/11/2022
Strategic Voting in the Context of Stable-Matching of Teams
In the celebrated stable-matching problem, there are two sets of agents ...
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07/10/2022
Not Just Skipping. Understanding the Effect of Sponsored Content on Users' Decision-Making in Online Health Search
Advertisements (ads) are an innate part of search engine business models...
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06/07/2022
Explainability in Mechanism Design: Recent Advances and the Road Ahead
Designing and implementing explainable systems is seen as the next step ...
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05/24/2022
Justifying Social-Choice Mechanism Outcome for Improving Participant Satisfaction
In many social-choice mechanisms the resulting choice is not the most pr...
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04/29/2022
Robust Solutions for Multi-Defender Stackelberg Security Games
Multi-defender Stackelberg Security Games (MSSG) have recently gained in...
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04/26/2022
Toward Policy Explanations for Multi-Agent Reinforcement Learning
Advances in multi-agent reinforcement learning (MARL) enable sequential ...
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03/16/2022
Explaining Preference-driven Schedules: the EXPRES Framework
Scheduling is the task of assigning a set of scarce resources distribute...
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03/03/2022
Uncertainty with UAV Search of Multiple Goal-oriented Targets
This paper considers the complex problem of a team of UAVs searching tar...
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01/11/2022
A Negotiating Strategy for a Hybrid Goal Function in Multilateral Negotiation
In various multi-agent negotiation settings, a negotiator's utility depe...
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06/12/2021
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks
The Reinforcement Learning (RL) building blocks, i.e. Q-functions and po...
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05/20/2021
Manipulation of k-Coalitional Games on Social Networks
In many coalition formation games the utility of the agents depends on a...
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05/09/2021
Advising Agent for Service-Providing Live-Chat Operators
Call centers, in which human operators attend clients using textual chat...
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05/04/2021
Broadly Applicable Targeted Data Sample Omission Attacks
We introduce a novel clean-label targeted poisoning attack on learning m...
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12/31/2020
DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data
Automated vehicles promise a future where drivers can engage in non-driv...
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01/29/2020
On Maximizing Egalitarian Value in K-coalitional Hedonic Games
This paper considers the problem of dividing agents among coalitions. We...
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07/03/2018
Providing Explanations for Recommendations in Reciprocal Environments
Automated platforms which support users in finding a mutually beneficial...
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05/20/2018
Safe Policy Learning from Observations
In this paper, we consider the problem of learning a policy by observing...
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05/15/2018
Leveraging human knowledge in tabular reinforcement learning: A study of human subjects
Reinforcement Learning (RL) can be extremely effective in solving comple...
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05/02/2018
Negotiation Strategies for Agents with Ordinal Preferences
Negotiation is a very common interaction between automated agents. Many ...
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02/09/2018
A Study of WhatsApp Usage Patterns and Prediction Models without Message Content
Internet social networks have become a ubiquitous application allowing p...
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09/27/2017
Combining Prediction of Human Decisions with ISMCTS in Imperfect Information Games
Monte Carlo Tree Search (MCTS) has been extended to many imperfect infor...
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06/19/2017
Learning to Schedule Deadline- and Operator-Sensitive Tasks
The use of semi-autonomous and autonomous robotic assistants to aid in c...
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06/24/2016
Human-Agent Decision-making: Combining Theory and Practice
Extensive work has been conducted both in game theory and logic to model...
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02/20/2014
Using the Crowd to Generate Content for Scenario-Based Serious-Games
In the last decade, scenario-based serious-games have become a main tool...
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02/18/2002