Collaborative Decision Making Using Action Suggestions

von Asmar, Dylan
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 43 of 50 (2023)

Decision making under uncertainty : theory and application

von Kochenderfer, Mykel J.
Veröffentlicht 2015

Online Algorithms for POMDPs with Continuous State, Action, and Observation Spaces

von Sunberg, Zachary N.
Veröffentlicht in International Conference on Automated Planning and Scheduling (28. : 2018 : Delft) Proceedings of the Twenty-eighth International Conference on Automated Planning and Scheduling (2018)

Algorithms for optimization

von Kochenderfer, Mykel J.
Veröffentlicht 2019

Algorithms for optimization

von Kochenderfer, Mykel J.
Veröffentlicht 2019

Algorithms for optimization

von Kochenderfer, Mykel J.
Veröffentlicht 2019

ALMOST HORIZON-FREE STRUCTURE-AWARE BEST POLICY IDENTIFICATION WITH A GENERATIVE MODEL

von Zanette, Andrea
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 8 of 20 (2020)

Adaptive Informative Path Planning with Multimodal Sensing

von Choudhury, Shushman
Veröffentlicht in ICAPS Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling (2020)

ANALYSIS OF FLEET MANAGEMENT AND INFRASTRUCTURE CONSTRAINTS IN ON-DEMAND URBAN AJR MOBILITY OPERATIONS

von Li, Sheng
Veröffentlicht in AIAA Aviation Forum (2020 : Online) Air traffic operations, management, and systems (2020)

Online Planning for Constrained POMDPs with Continuous Spaces through Dual Ascent

von Jamgochian, Arec
Veröffentlicht in International Conference on Automated Planning and Scheduling (33. : 2023 : Prag) Thirty-third International Conference on Automated Planning and Scheduling (ICAPS 2023) (2023)

OBSTACLE AVOIDANCE USING A MONOCULAR CAMERA

von Hatch, Kyle
Veröffentlicht in AIAA SciTech Forum and Exposition (2021 : Online) Intelligent systems ; Volume 1 of 3 (2021)

NORMALIZING FLOW MODEL FOR POLICY REPRESENTATION IN CONTINUOUS ACTION MULTI-AGENT SYSTEMS

von Ma, Xiaobai
Veröffentlicht in AAMAS (19. : 2020 : Online) International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020) ; Volume 3 of 3 (2021)

Normalizing Flow Policies for Multi-agent Systems

von Ma, Xiaobai
Veröffentlicht in GameSec (11. : 2020 : Online) Decision and game theory for security (2020)

Algorithms for decision making

von Kochenderfer, Mykel J.
Veröffentlicht 2022

Algorithms for decision making

von Kochenderfer, Mykel J.
Veröffentlicht 2022

Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models

von Chen, Phil
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 14 of 36 (2022)

LIMITING EXTRAPOLATION IN LINEAR APPROXIMATE VALUE ITERATION

von Zanette, Andrea
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 8 of 20 (2020)

MULTI-AGENT ADVERSARIAL INVERSE REINFORCEMENT LEARNING WITH LATENT VARIABLES

von Gruver, Nate
Veröffentlicht in AAMAS (19. : 2020 : Online) International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020) ; Volume 3 of 3 (2021)

PROVABLY EFFICIENT REWARD-AGNOSTIC NAVIGATION WITH LINEAR VALUE ITERATION

von Zanette, Andrea
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 15 of 27 (2021)

SCALABLE ANYTIME PLANNING FOR MULTI-AGENT MDPS

von Choudhury, Shushman
Veröffentlicht in AAMAS (20. : 2021 : Online) 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021) ; Volume 1 of 3 (2021)