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15 Results
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Oral
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Wed 16:35 |
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes Taylor Killian · Samuel Daulton · Finale Doshi-Velez · George Konidaris |
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Poster
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Wed 18:30 |
Successor Features for Transfer in Reinforcement Learning Andre Barreto · Will Dabney · Remi Munos · Jonathan Hunt · Tom Schaul · David Silver · Hado van Hasselt |
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Poster
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Tue 18:30 |
Inverse Filtering for Hidden Markov Models Robert Mattila · Cristian Rojas · Vikram Krishnamurthy · Bo Wahlberg |
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Poster
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Wed 18:30 |
Zap Q-Learning Adithya M Devraj · Sean Meyn |
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Workshop
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Sat 9:45 |
Minimax-Regret Querying on Side Effects in Factored Markov Decision Processes Satinder Singh |
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Poster
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Wed 18:30 |
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach Yi Ouyang · Mukul Gagrani · Ashutosh Nayyar · Rahul Jain |
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Poster
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Mon 18:30 |
Collapsed variational Bayes for Markov jump processes Boqian Zhang · Jiangwei Pan · Vinayak Rao |
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Poster
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Wed 18:30 |
Inverse Reward Design Dylan Hadfield-Menell · Smitha Milli · Pieter Abbeel · Stuart J Russell · Anca Dragan |
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Poster
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Wed 18:30 |
Reinforcement Learning under Model Mismatch Aurko Roy · Huan Xu · Sebastian Pokutta |
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Poster
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Wed 18:30 |
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes Taylor Killian · Samuel Daulton · Finale Doshi-Velez · George Konidaris |
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Poster
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Wed 18:30 |
Policy Gradient With Value Function Approximation For Collective Multiagent Planning Duc Thien Nguyen · Akshat Kumar · Hoong Chuin Lau |
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Poster
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Wed 18:30 |
Multi-View Decision Processes: The Helper-AI Problem Christos Dimitrakakis · David Parkes · Goran Radanovic · Paul Tylkin |