Francesco Fabiano, Alessandro Burigana, Agostino Dovier, Enrico Pontelli

Keywords Abstract Paper

Automated reasoning, Epistemic reasoning, Planning, Multi-agent, Knowledge representation, Non-well-founded sets, Kripke structures

Karl Pertsch, Oleh Rybkin, Frederik Ebert and

Shenghao Zhou, Dinesh Jayaraman, Chelsea Finn, Sergey Levine

Keywords Abstract Paper

Applications -> Robotics; Reinforcement Learning and Planning -> Exploration; Reinforcement Learning and Planning -> Reinforcem, Algorithms -> Multitask and Transfer Learning

Radu Marinescu, Junkyu Lee, Rina Dechter

Keywords Abstract Paper

Jun Yamada, Youngwoon Lee, Gautam Salhotra and

Karl Pertsch, Max Pflueger, Gaurav Sukhatme, Joseph Lim, Peter Englert

Keywords Abstract Paper

Ian Mallett, Sylvie Thiebaux, Felipe Trevizan

Keywords Abstract Paper

Minglong Li, Zhongxuan Cai, Wenjing Yang and

Lixia Wu, Yinghui Xu, Ji Wang

Keywords Abstract Paper

Nitin Kamra, Hao Zhu, Dweep Kumarbhai Trivedi and

Ming Zhang, Yan Liu

Keywords Abstract Paper

Zhibo Xiao, Luwei Yang, Wen Jiang and

Yi Wei, Yi Hu, Hao Wang

Keywords Abstract Paper

click-through rate prediction, multi-interest, recommender system

Yen-Cheng Liu, Junjiao Tian, Nathaniel Glaser, Zsolt Kira

Keywords Abstract Paper

multi-agent system, scene understanding, multi-view learning, learning-based communication

Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar

Keywords Abstract Paper

Reinforcement Learning and Planning, Others

Leonardo Lamanna, Alfonso Emilio Gerevini, Alessandro Saetti and

Luciano Serafini, Paolo Traverso

Keywords Abstract Paper

Yang Li, Junier Oliva

Keywords Abstract Paper

Deep Learning, Generative Models, Applications, Computational Biology and Bioinformatics, Reinforcement Learning and Planning, Deep RL

Jessica Hamrick, Abram Friesen, Feryal Behbahani and

Arthur Guez, Fabio Viola, Sims Witherspoon, Thomas Anthony, Lars Buesing, Petar Veličković, Theo Weber

Keywords Abstract Paper

planning, MuZero, model-based RL

Hanrui Zhang, Vincent Conitzer

Keywords Abstract Paper

Andrea Micheli, Alessandro Valentini

Keywords Abstract Paper

Masha Itkina, Boris Ivanovic, Ransalu Senanayake and

Mykel J Kochenderfer, Marco Pavone

Keywords Abstract Paper

Kevin Xie, Homanga Bharadhwaj, Danijar Hafner and

Animesh Garg, Florian Shkurti

Keywords Abstract Paper

Partial Amortization, Model Predictive Control, Planning, Mutual Information, Skill Discovery, World Models, Model-Based Reinforcement Learning

Jorge Luis Fernandez Davila, Dominique Longin, Emiliano Lorini, Frédéric Maris

Keywords Abstract Paper

Wei Tang, Chien-Ju Ho, Yang Liu

Keywords Abstract Paper

Veronica Chelu, Doina Precup, Hado van Hasselt

Keywords Abstract Paper

Bohan Tang, Yiqi Zhong, Ulrich Neumann and

Gang Wang, Siheng Chen, Ya Zhang

Keywords Abstract Paper

deep learning

Kun Jin, Yevgeniy Vorobeychik, Mingyan Liu

Keywords Abstract Paper

Rostislav Horčík, Daniel Fišer

Keywords Abstract Paper

Keegan Harris, Hoda Heidari, Steven Wu

Keywords Abstract Paper

optimization

Panteha Naderian, Gabriel Loaiza-Ganem, Harry Braviner and

Anthony Caterini, Jesse C Cresswell, Tong Li, Animesh Garg

Keywords Abstract Paper

reinforcement learning, goal reaching, Q-learning

Martim Brandão, Ioannis Havoutis

Keywords Abstract Paper

motion planning, robot motion planning, hierarchical motion planning, evolutionary optimization

Lunjun Zhang, Ge Yang, Bradly Stadie

Keywords Abstract Paper

Applications, Computer Vision, Algorithms, Classification; Applications, Computational Social Science; Applications, Visual Scene Analysis and Interpret, Reinforcement Learning and Planning, Deep RL

Christopher Hoang, Sungryull Sohn, Jongwook Choi and

Wilka Carvalho, Honglak Lee

Keywords Abstract Paper

reinforcement learning and planning, graph learning

Amy Zhang, Shagun Sodhani, Khimya Khetarpal, Joelle Pineau

Keywords Abstract Paper

bisimulation, block mdp, hidden-parameter mdp, multi-task reinforcement learning

Menghui Zhu, Minghuan Liu, Jian Shen and

Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang

Keywords Abstract Paper

Machine Learning, Deep Reinforcement Learning, Reinforcement Learning

Chengxin Wang, Shaofeng Cai, Gary Tan

Keywords Abstract Paper

Tijana Zrnic, Eric Mazumdar, Shankar Sastry, Michael Jordan

Keywords Abstract Paper

machine learning

Joseph Marino, Alexandre Piche, Alessandro Davide Ialongo, Yisong Yue

Keywords Abstract Paper

optimization, reinforcement learning and planning, generative model

Layton Hayes, Prashant Doshi, Swaraj Pawar, Hari Teja Tatavarti

Keywords Abstract Paper

Machine Learning, Learning Graphical Models, Model-Based Reasoning, Planning under Uncertainty

Marlesson R. O. Santana, Luckeciano C. Melo, Fernando H. F. Camargo and

Bruno Brandão, Anderson Soares, Renan M. Oliveira, Sandor Caetano

Keywords Abstract Paper

contextual bandits, hierarchical recommender systems, options framework, reinforcement learning

Benjie Wang, Clare Lyle, Marta Kwiatkowska

Keywords Abstract Paper

Uncertainty in AI, Bayesian Networks, Knowledge Compilation and Tractable Languages, Transfer, Adaptation, Multi-task Learning

Jiaoyang Li, Zhe Chen, Daniel Harabor and

Peter J. Stuckey, Sven Koenig

Keywords Abstract Paper

Planning and Scheduling, Search in Planning and Scheduling, Multi-agent Planning, Motion and Path Planning

Dor Atzmon, Roni Stern, Ariel Felner and

Nathan R. Sturtevant, Sven Koenig

Keywords Abstract Paper

Probabilistic, Robust, Multi-Agent Path Finding, MAPF, Collisions, Conflicts, Planning

Cheng Wang, Carolin Lawrence, Mathias Niepert

Keywords Abstract Paper

calibration, uncertainty estimation, RNN

Chao Chen, Haoyu Geng, Nianzu Yang and

Junchi Yan, Daiyue Xue, Jianping Yu, Xiaokang Yang

Keywords Abstract Paper

Algorithms, Ranking and Preference Learning