Expected Value of Communication for Planning in Ad Hoc Teamwork

1 March 2021

Papers citing "Expected Value of Communication for Planning in Ad Hoc Teamwork"

15 / 15 papers shown

Title
Gap the (Theory of) Mind: Sharing Beliefs About Teammates' Goals Boosts Collaboration Perception, Not Performance Yotam Amitai Reuth Mirsky Ofra Amir 22 0 0 06 May 2025
Cooperation on the Fly: Exploring Language Agents for Ad Hoc Teamwork in the Avalon Game Zijing Shi Meng Fang Shunfeng Zheng Shilong Deng Ling-Hao Chen Yali Du 28 22 0 29 Dec 2023
Exploring the Cost of Interruptions in Human-Robot Teaming Swathi Mannem William Macke Peter Stone Reuth Mirsky 13 3 0 01 Nov 2023
Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings (Extended Version) Pulkit Verma Rushang Karia Siddharth Srivastava 19 10 0 07 Jun 2023
Knowledge-based Reasoning and Learning under Partial Observability in Ad Hoc Teamwork Hasra Dodampegama Mohan Sridharan 12 7 0 01 Jun 2023
Learning to Learn Group Alignment: A Self-Tuning Credo Framework with Multiagent Teams David Radke Kyle Tilbury 19 1 0 14 Apr 2023
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition Shunyu Liu Yihe Zhou Jie Song Tongya Zheng Kaixuan Chen Tongtian Zhu Zunlei Feng Mingli Song 40 17 0 23 Nov 2022
A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning Arrasy Rahman Ignacio Carlucho Niklas Höpner Stefano V. Albrecht 40 8 0 11 Oct 2022
Ad Hoc Teamwork in the Presence of Adversaries Ted Fujimoto Samrat Chatterjee A. Ganguly 25 2 0 09 Aug 2022
Deep Reinforcement Learning for Multi-Agent Interaction I. Ahmed Cillian Brewitt Ignacio Carlucho Filippos Christianos Mhairi Dunion ... Lukas Schafer Massimiliano Tamborski Giuseppe Vecchio Cheng Wang Stefano V. Albrecht DRL AI4CE 11 11 0 02 Aug 2022
Toward multi-target self-organizing pursuit in a partially observable Markov game Lijun Sun Yu-Cheng Chang Chao Lyu Ye-ling Shi Yuhui Shi Chin-Teng Lin 24 7 0 24 Jun 2022
Exploring the Benefits of Teams in Multiagent Learning David Radke Kate Larson Timothy B. Brecht AI4TS 27 10 0 04 May 2022
The Importance of Credo in Multiagent Learning David Radke Kate Larson Timothy B. Brecht 27 11 0 15 Apr 2022
Goal Recognition as Reinforcement Learning L. Amado Reuth Mirsky Felipe Meneguzzi OffRL 6 16 0 13 Feb 2022
The Power of Communication in a Distributed Multi-Agent System P. D. Siedler 17 3 0 30 Nov 2021