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| + | ==== SDMIA Symposium: List of Accepted Papers ==== | ||
| + | [[sdmia|SDMIA Main Page]] | ||
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| + | ^ Authors ^ Title ^ | ||
| + | | Erwin Walraven and Matthijs T. J. Spaan | Planning under Uncertainty with Weighted State Scenarios | | ||
| + | | Yusen Zhan and Matthew Taylor | Online Transfer Learning in Reinforcement Learning Domains| | ||
| + | | Christopher Amato, George Konidaris, Shayegan Omidshafiei, | ||
| + | | Sean Mcgregor, Hailey Buckingham, Rachel Houtman, Claire Montgomery, Ronald Metoyer and Thomas Dietterich | MDPvis: An Interactive Visualization for Testing Markov Decision Processes| | ||
| + | | D. Ellis Hershkowitz, | ||
| + | | Martin Allen | Complexity of Self-Preserving, | ||
| + | | Siddharth Srivastava, Stuart Russell and Alessandro Pinto | Metaphysics of Planning Domain Descriptions| | ||
| + | | Edmund Durfee and Satinder Singh | Commitment Semantics for Sequential Decision Making Under Reward Uncertainty| | ||
| + | | Kyle Wray and Shlomo Zilberstein | A Parallel Point-Based POMDP Algorithm Leveraging GPUs| | ||
| + | | Frans Oliehoek, Matthijs T. J. Spaan, Philipp Robbel and Joao Messias | The MADP Toolbox: An Open-Source Library for Planning and Learning in (Multi-)Agent Systems| | ||
| + | | Atsushi Iwasaki, Tadashi Sekiguchi, Shun Yamamoto and Makoto Yokoo | How is cooperation/ | ||
| + | | Bruno Lacerda, David Parker and Nick Hawes | Nested Value Iteration for Partially Satisfiable Co-Safe LTL Specifications (Extended Abstract)| | ||
| + | | Matthew Hausknecht and Peter Stone | Deep Recurrent Q-Learning for Partially Observable MDPs| | ||
| + | | Alberto Reyes, Pablo H. Ibarguengoytia, | ||
| + | | Fabio-Valerio Ferrari and Abdel-Illah Mouaddib | Hierarchical factored POMDP for joint tasks : application to escort tasks| | ||
| + | | Luis Pineda, Kyle Wray and Shlomo Zilberstein | Revisiting Multi-Objective MDPs with Relaxed Lexicographic Preferences| | ||
| + | | Daniel Urieli and Peter Stone | Autonomous Electricity Trading using Time-Of-Use Tariffs in a Competitive Market| | ||
| + | | Philipp Robbel, Frans A. Oliehoek and Mykel J. Kochenderfer| Exploiting Anonymity in Approximate Linear Programming: | ||