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sdmia_accepted_papers [2015/09/25 06:34] matthijs |
sdmia_accepted_papers [2015/11/04 07:31] (current) matthijs |
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^ Authors ^ Title ^ | ^ Authors ^ Title ^ | ||
| Erwin Walraven and Matthijs T. J. Spaan | Planning under Uncertainty with Weighted State Scenarios | | | 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| | + | | Yusen Zhan and Matthew Taylor | Online Transfer Learning in Reinforcement Learning Domains| |
| Christopher Amato, George Konidaris, Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi, Jonathan How and Leslie Kaelbling | Probabilistic Planning for Decentralized Multi-Robot Systems| | | Christopher Amato, George Konidaris, Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi, Jonathan How and Leslie Kaelbling | Probabilistic Planning for Decentralized Multi-Robot Systems| | ||
- | | Sean Mcgregor, Hailey Buckingham, Rachel Houtman, Claire Montgomery, Ronald Metoyer and Thomas Dietterich | Facilitating Testing and Debugging of Markov Decision Processes with Interactive Visualization| | + | | 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, James MacGlashan and Stefanie Tellex | Learning Propositional Functions for Planning and Reinforcement Learning| | | D. Ellis Hershkowitz, James MacGlashan and Stefanie Tellex | Learning Propositional Functions for Planning and Reinforcement Learning| | ||
| Martin Allen | Complexity of Self-Preserving, Team-Based Competition in Partially Observable Stochastic Games| | | Martin Allen | Complexity of Self-Preserving, Team-Based Competition in Partially Observable Stochastic Games| |