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04/24/2023
Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning
This paper investigates policy resilience to training-environment poison...
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02/07/2023
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning
Recent advances in multi-agent reinforcement learning (MARL) allow agent...
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05/27/2022
Off-Beat Multi-Agent Reinforcement Learning
We investigate model-free multi-agent reinforcement learning (MARL) in e...
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08/09/2021
Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning
Recent studies in multi-agent communicative reinforcement learning (MACR...
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02/16/2021
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents
Current value-based multi-agent reinforcement learning methods optimize ...
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11/28/2019
Manipulating Elections by Selecting Issues
Constructive election control considers the problem of an adversary who ...
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11/16/2019
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach
Many real-world multi-agent reinforcement learning applications require ...
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06/17/2019
Protecting Elections by Recounting Ballots
Complexity of voting manipulation is a prominent topic in computational ...
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05/30/2019
New Algorithms for Functional Distributed Constraint Optimization Problems
The Distributed Constraint Optimization Problem (DCOP) formulation is a ...
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05/17/2019
Between Discord and Deadlock: Consensus Under a Deadline
Committees are an important scenario for reaching consensus. Beyond stan...
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05/13/2019
Lie on the Fly: Strategic Voting in an Iterative Preference Elicitation Process
A voting center is in charge of collecting and aggregating voter prefere...
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03/07/2019
Imitative Follower Deception in Stackelberg Games
Uncertainty is one of the major challenges facing applications of game t...
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04/23/2015