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Home / Proceedings / Papers from the 2015 AAAI Fall Symposium /

No. 6: Sequential Decision Making for Intelligent Agents

All Papers

  • The MADP Toolbox: An Open-Source Library for Planning and Learning in (Multi-)Agent Systems

    Frans A. Oliehoek, Matthijs T. J. Spaan, Philipp Robbel, Joao Messias

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  • Online Transfer Learning in Reinforcement Learning Domains

    Yusen Zhan, Mattew E. Taylor

    PDF
  • A Parallel Point-Based POMDP Algorithm Leveraging GPUs

    Kyle Hollins Wray, Shlomo Zilberstein

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  • Planning Under Uncertainty with Weighted State Scenarios

    Erwin Walraven, Matthijs T. J. Spaan

    PDF
  • Autonomous Electricity Trading Using Time-Of-Use Tariffs in a Competitive Market

    Daniel Urieli, Peter Stone

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  • Metaphysics of Planning Domain Descriptions

    Siddharth Srivastava, Stuart Russell, Alessandro Pinto

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  • Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs

    Philipp Robbel, Frans A. Oliehoek, Mykel J. Kochenderfer

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  • Open Questions for Building Optimal Operation Policies for Dam Management Using Factored Markov Decision Processes

    Alberto Reyes, Pablo H. Ibarguengoytia, Inés Romero, David Pech, Mónica Borunda

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  • Revisiting Multi-Objective MDPs with Relaxed Lexicographic Preferences

    Luis Enrique Pineda, Kyle Hollins Wray, Shlomo Zilberstein

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  • MDPVIS: An Interactive Visualization for Testing Markov Decision Processes

    Sean McGregor, Hailey Buckingham, Rachel Houtman, Claire Montgomery, Ronald Metoyer, Thomas G. Dietterich

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  • Nested Value Iteration for Partially Satisfiable Co-Safe LTL Specifications (Extended Abstract)

    Bruno Lacerda, David Parker, Nick Hawes

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  • Complexity of Self-Preserving, Team-Based Competition in Partially Observable Stochastic Games

    Marty Allen

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  • How Is Cooperation/Collusion Sustained in Repeated Multimarket Contact with Observation Errors?

    Atsushi Iwasaki, Tadashi Sekiguchi, Shun Yamamoto, Makoto Yokoo

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  • Learning Propositional Functions for Planning and Reinforcement Learning

    David Ellis Hershkowitz, James MacGlashan, Stefanie Tellex

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  • Deep Recurrent Q-Learning for Partially Observable MDPs

    Matthew Hausknecht, Peter Stone

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  • Hierarchical Factored POMDP for Joint Tasks: Application to Escort Tasks

    Fabio-Valerio Ferrari, Abdel-Illah Mouaddib

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  • Commitment Semantics for Sequential Decision Making Under Reward Uncertainty

    Edmund H. Durfee, Satinder Singh

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  • Probabilistic Planning for Decentralized Multi-Robot Systems

    Christopher Amato, George Konidaris, Shayegan Omidshafiei, Ali-akbar Agha-mohammadi, Jonathan P. How, Leslie P. Kaelbling

    PDF

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