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Belief and Truth in Hypothesised Behaviours
v1v2v3 (latest)

Belief and Truth in Hypothesised Behaviours

28 July 2015
Stefano V. Albrecht
J. Crandall
S. Ramamoorthy
ArXiv (abs)PDFHTML

Papers citing "Belief and Truth in Hypothesised Behaviours"

15 / 15 papers shown
Title
Constant-Memory Strategies in Stochastic Games: Best Responses and Equilibria
Constant-Memory Strategies in Stochastic Games: Best Responses and Equilibria
Fengming Zhu
Fangzhen Lin
60
0
0
11 May 2025
Single-Agent Planning in a Multi-Agent System: A Unified Framework for Type-Based Planners
Single-Agent Planning in a Multi-Agent System: A Unified Framework for Type-Based Planners
Fengming Zhu
Fangzhen Lin
143
1
0
13 Feb 2025
Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise
  Teammate Feedback Rectification
Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification
Dong Xing
Pengjie Gu
Qian Zheng
Xinrun Wang
Shanqi Liu
Longtao Zheng
Bo An
Gang Pan
54
2
0
19 Jun 2023
Decentralized Inference via Capability Type Structures in Cooperative
  Multi-Agent Systems
Decentralized Inference via Capability Type Structures in Cooperative Multi-Agent Systems
Charles Jin
Zhang-Wei Hong
Farid Arthaud
Idan Orzech
Martin Rinard
38
0
0
27 Apr 2023
Should Collaborative Robots be Transparent?
Should Collaborative Robots be Transparent?
Shahabedin Sagheb
Soham Gandhi
Dylan P. Losey
55
1
0
23 Apr 2023
Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling
Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling
Zun Li
Marc Lanctot
Kevin R. McKee
Luke Marris
I. Gemp
Daniel Hennes
Paul Muller
Kate Larson
Yoram Bachrach
Michael P. Wellman
59
11
0
01 Feb 2023
Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for
  Automated Driving using Distributional Reinforcement Learning
Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning
Julian Bernhard
Stefan Pollok
Alois Knoll
47
33
0
05 Feb 2021
Risk-Constrained Interactive Safety under Behavior Uncertainty for
  Autonomous Driving
Risk-Constrained Interactive Safety under Behavior Uncertainty for Autonomous Driving
Julian Bernhard
Alois Knoll
156
8
0
05 Feb 2021
Deep Interactive Bayesian Reinforcement Learning via Meta-Learning
Deep Interactive Bayesian Reinforcement Learning via Meta-Learning
L. Zintgraf
Sam Devlin
K. Ciosek
Shimon Whiteson
Katja Hofmann
BDL
67
45
0
11 Jan 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
70
58
0
18 Jun 2020
Robust Stochastic Bayesian Games for Behavior Space Coverage
Robust Stochastic Bayesian Games for Behavior Space Coverage
Julian Bernhard
Alois Knoll
112
3
0
25 Mar 2020
Reasoning about Hypothetical Agent Behaviours and their Parameters
Reasoning about Hypothetical Agent Behaviours and their Parameters
Stefano V. Albrecht
Peter Stone
86
63
0
26 Jun 2019
Courtesy as a Means to Coordinate
Courtesy as a Means to Coordinate
Panayiotis Danassis
Boi Faltings
47
1
0
22 Jan 2018
Autonomous Agents Modelling Other Agents: A Comprehensive Survey and
  Open Problems
Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems
Stefano V. Albrecht
Peter Stone
147
474
0
23 Sep 2017
A Survey of Learning in Multiagent Environments: Dealing with
  Non-Stationarity
A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity
Pablo Hernandez-Leal
Michael Kaisers
T. Baarslag
Enrique Munoz de Cote
86
275
0
28 Jul 2017
1