research
∙
02/23/2023
Concept Learning for Interpretable Multi-Agent Reinforcement Learning
Multi-agent robotic systems are increasingly operating in real-world env...
share
research
∙
11/15/2022
Explainable Action Advising for Multi-Agent Reinforcement Learning
Action advising is a knowledge transfer technique for reinforcement lear...
research
∙
01/19/2022
The Enforcers: Consistent Sparse-Discrete Methods for Constraining Informative Emergent Communication
Communication enables agents to cooperate to achieve their goals. Learni...
research
∙
08/04/2021
Emergent Discrete Communication in Semantic Spaces
Neural agents trained in reinforcement learning settings can learn to co...
research
∙
04/07/2021
Deep Interpretable Models of Theory of Mind For Human-Agent Teaming
When developing AI systems that interact with humans, it is essential to...
research
∙
03/07/2021
Adaptive Agent Architecture for Real-time Human-Agent Teaming
Teamwork is a set of interrelated reasoning, actions and behaviors of te...
research
∙
11/15/2020
Predicting Human Strategies in Simulated Search and Rescue Task
In a search and rescue scenario, rescuers may have different knowledge o...
research
∙
11/10/2019