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Natural Emergence of Heterogeneous Strategies in Artificially
  Intelligent Competitive Teams

Natural Emergence of Heterogeneous Strategies in Artificially Intelligent Competitive Teams

6 July 2020
A. Deka
Katia P. Sycara
    AAML
ArXivPDFHTML

Papers citing "Natural Emergence of Heterogeneous Strategies in Artificially Intelligent Competitive Teams"

13 / 13 papers shown
Title
Prioritized League Reinforcement Learning for Large-Scale Heterogeneous
  Multiagent Systems
Prioritized League Reinforcement Learning for Large-Scale Heterogeneous Multiagent Systems
Qing Fu
Zhiqiang Pu
Min Chen
Tenghai Qiu
Jianqiang Yi
32
0
0
26 Mar 2024
Knowledge-based Reasoning and Learning under Partial Observability in Ad
  Hoc Teamwork
Knowledge-based Reasoning and Learning under Partial Observability in Ad Hoc Teamwork
Hasra Dodampegama
Mohan Sridharan
12
7
0
01 Jun 2023
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility
Malintha Fernando
Ransalu Senanayake
Heeyoul Choi
Martin Swany
31
4
0
14 Feb 2023
Heterogeneous Multi-Robot Reinforcement Learning
Heterogeneous Multi-Robot Reinforcement Learning
Matteo Bettini
Ajay Shankar
Amanda Prorok
22
40
0
17 Jan 2023
Learning Heterogeneous Agent Cooperation via Multiagent League Training
Learning Heterogeneous Agent Cooperation via Multiagent League Training
Qing Fu
X. Ai
Jianqiang Yi
Tenghai Qiu
Wanmai Yuan
Zhiqiang Pu
13
7
0
13 Nov 2022
A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based
  Policy Learning
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
Knowledge-based and Data-driven Reasoning and Learning for Ad Hoc
  Teamwork
Knowledge-based and Data-driven Reasoning and Learning for Ad Hoc Teamwork
Hasra Dodampegama
Mohan Sridharan
22
0
0
24 Aug 2022
A Policy Resonance Approach to Solve the Problem of Responsibility
  Diffusion in Multiagent Reinforcement Learning
A Policy Resonance Approach to Solve the Problem of Responsibility Diffusion in Multiagent Reinforcement Learning
Qing Fu
Tenghai Qiu
Jianqiang Yi
Zhiqiang Pu
Xiaolin Ai
Wanmai Yuan
19
0
0
16 Aug 2022
Exploring the Benefits of Teams in Multiagent Learning
Exploring the Benefits of Teams in Multiagent Learning
David Radke
Kate Larson
Timothy B. Brecht
AI4TS
16
10
0
04 May 2022
Concentration Network for Reinforcement Learning of Large-Scale
  Multi-Agent Systems
Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems
Qing Fu
Tenghai Qiu
Jianqiang Yi
Zhiqiang Pu
Shiguang Wu
17
16
0
12 Mar 2022
Collective Conditioned Reflex: A Bio-Inspired Fast Emergency Reaction
  Mechanism for Designing Safe Multi-Robot Systems
Collective Conditioned Reflex: A Bio-Inspired Fast Emergency Reaction Mechanism for Designing Safe Multi-Robot Systems
Bowei He
Zhen Zhao
Wenhao Luo
R. Liu
14
4
0
24 Feb 2022
Hiding Leader's Identity in Leader-Follower Navigation through
  Multi-Agent Reinforcement Learning
Hiding Leader's Identity in Leader-Follower Navigation through Multi-Agent Reinforcement Learning
A. Deka
Wenhao Luo
Huao Li
M. Lewis
Katia P. Sycara
8
4
0
10 Mar 2021
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning
Arrasy Rahman
Niklas Höpner
Filippos Christianos
Stefano V. Albrecht
8
54
0
18 Jun 2020
1