Scalable Decision-Theoretic Planning in Open and Typed Multiagent Systems

20 November 2019

Papers citing "Scalable Decision-Theoretic Planning in Open and Typed Multiagent Systems"

8 / 8 papers shown

Title
Open Human-Robot Collaboration using Decentralized Inverse Reinforcement Learning P. Suresh Siddarth Jain Prashant Doshi Diego Romeres AI4CE 80 2 0 02 Oct 2024
United We Stand: Decentralized Multi-Agent Planning With Attrition Nhat Nguyen Duong Nguyen Gianluca Rizzo Hung Nguyen 42 0 0 11 Jul 2024
Leveraging Large Language Model for Heterogeneous Ad Hoc Teamwork Collaboration Xinzhu Liu Peiyan Li Wenju Yang Di Guo Huaping Liu 98 6 0 18 Jun 2024
Combining a Meta-Policy and Monte-Carlo Planning for Scalable Type-Based Reasoning in Partially Observable Environments Jonathon Schwartz H. Kurniawati Marcus Hutter OffRL LRM 67 0 0 09 Jun 2023
Fast Teammate Adaptation in the Presence of Sudden Policy Change Ziqian Zhang Lei Yuan Lihe Li Ke Xue Chengxing Jia Cong Guan Chao Qian Yang Yu 89 9 0 10 May 2023
Latent Interactive A2C for Improved RL in Open Many-Agent Systems Keyang He Prashant Doshi Bikramjit Banerjee OffRL 55 3 0 09 May 2023
A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning Arrasy Rahman Ignacio Carlucho Niklas Höpner Stefano V. Albrecht 112 11 0 11 Oct 2022
Decentralized MCTS via Learned Teammate Models A. Czechowski F. Oliehoek 451 19 0 19 Mar 2020