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01/19/2022
The Enforcers: Consistent Sparse-Discrete Methods for Constraining Informative Emergent Communication
Communication enables agents to cooperate to achieve their goals. Learni...
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08/04/2021
Emergent Discrete Communication in Semantic Spaces
Neural agents trained in reinforcement learning settings can learn to co...
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03/10/2021
Hiding Leader's Identity in Leader-Follower Navigation through Multi-Agent Reinforcement Learning
Leader-follower navigation is a popular class of multi-robot algorithms ...
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03/07/2021
Adaptive Agent Architecture for Real-time Human-Agent Teaming
Teamwork is a set of interrelated reasoning, actions and behaviors of te...
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12/05/2020
SpeakingFaces: A Large-Scale Multimodal Dataset of Voice Commands with Visual and Thermal Video Streams
We present SpeakingFaces as a publicly-available large-scale multimodal ...
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11/15/2020
Predicting Human Strategies in Simulated Search and Rescue Task
In a search and rescue scenario, rescuers may have different knowledge o...
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08/04/2020
Explanation of Reinforcement Learning Model in Dynamic Multi-Agent System
Recently, there has been increasing interest in transparency and interpr...
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09/17/2018
