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Found 5 papers, 1 papers with code
WIT-UAS: A Wildland-fire Infrared Thermal Dataset to Detect Crew Assets From Aerial Views
We present the Wildland-fire Infrared Thermal (WIT-UAS) dataset for long-wave infrared sensing of crew and vehicle assets amidst prescribed wildland fire environments.
On the Role of Emergent Communication for Social Learning in Multi-Agent Reinforcement Learning
Explicit communication among humans is key to coordinating and learning.
Towards True Lossless Sparse Communication in Multi-Agent Systems
We evaluate the learned communication `language' through direct causal analysis of messages in non-sparse runs to determine the range of lossless sparse budgets, which allow zero-shot sparsity, and the range of sparse budgets that will inquire a reward loss, which is minimized by our learned gating function with few-shot sparsity.
Interpretable Learned Emergent Communication for Human-Agent Teams
In human-agent teams tested in benchmark environments, where agents have been modeled using the Enforcers, we find that a prototype-based method produces meaningful discrete tokens that enable human partners to learn agent communication faster and better than a one-hot baseline.
Multiagent Rollout and Policy Iteration for POMDP with Application to Multi-Robot Repair Problems
Our methods specifically address the computational challenges of partially observable multiagent problems.
