activity
20172023
most citedR-MADDPG for Partially Observable Environments and Limited Communication

64 citations · 104 across the 35 of their papers we have counts for

collaborators
Showing 2022Show all

11 papers · 1 filter

cs.RO2022

Mission-Aware Value of Information Censoring for Distributed Filtering

Miguel Calvo-Fullana, Jonathan P. How

In this paper, we study the problem of distributed estimation with an emphasis on communication-efficiency. The proposed algorithm is based on a windowed maximum a posteriori (MAP)…

cs.GT2022

Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution Concept over Nash Equilibria

Dong-Ki Kim, Matthew Riemer, Miao Liu +3

Multiagent learning settings are inherently more difficult than single-agent learning because each agent interacts with other simultaneously learning agents in a shared environment…

cs.RO20221 cited

Robust MADER: Decentralized and Asynchronous Multiagent Trajectory Planner Robust to Communication Delay

Kota Kondo, Jesus Tordesillas, Reinaldo Figueroa +4

Although communication delays can disrupt multiagent systems, most of the existing multiagent trajectory planners lack a strategy to address this issue. State-of-the-art approaches…

cs.RO2022

Output Feedback Tube MPC-Guided Data Augmentation for Robust, Efficient Sensorimotor Policy Learning

Andrea Tagliabue, Jonathan P. How

Imitation learning (IL) can generate computationally efficient sensorimotor policies from demonstrations provided by computationally expensive model-based sensing and control algor…

eess.SY2022

A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops

Nicholas Rober, Michael Everett, Songan Zhang +1

As neural networks become more integrated into the systems that we depend on for transportation, medicine, and security, it becomes increasingly important that we develop methods t…

cs.RO20223 cited

View-Invariant Localization using Semantic Objects in Changing Environments

Jacqueline Ankenbauer, Kaveh Fathian, Jonathan P. How

This paper proposes a novel framework for real-time localization and egomotion tracking of a vehicle in a reference map. The core idea is to map the semantic objects observed by th…