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Poster
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Wed 14:00
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Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains
Nicolai Engelmann · Heinz Koeppl
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Workshop
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Rational Multi-Objective Agents Must Admit Non-Markov Reward Representations
Silviu Pitis · Duncan Bailey · Jimmy Ba
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Poster
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Wed 14:00
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Sample-Efficient Reinforcement Learning of Partially Observable Markov Games
Qinghua Liu · Csaba Szepesvari · Chi Jin
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Poster
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Robust Anytime Learning of Markov Decision Processes
Marnix Suilen · Thiago D. Simão · David Parker · Nils Jansen
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Poster
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Tue 9:00
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On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games
Runyu Zhang · Jincheng Mei · Bo Dai · Dale Schuurmans · Na Li
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Poster
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Tue 9:00
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Near-Optimal Randomized Exploration for Tabular Markov Decision Processes
Zhihan Xiong · Ruoqi Shen · Qiwen Cui · Maryam Fazel · Simon Du
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Poster
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Thu 14:00
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Sampling from Log-Concave Distributions with Infinity-Distance Guarantees
Oren Mangoubi · Nisheeth Vishnoi
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Poster
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Tue 9:00
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Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data
Abhishek Roy · Krishnakumar Balasubramanian · Saeed Ghadimi
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Poster
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Tue 9:00
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Influencing Long-Term Behavior in Multiagent Reinforcement Learning
Dong-Ki Kim · Matthew Riemer · Miao Liu · Jakob Foerster · Michael Everett · Chuangchuang Sun · Gerald Tesauro · Jonathan How
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Poster
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Wed 14:00
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Mining Multi-Label Samples from Single Positive Labels
Youngin Cho · Daejin Kim · MOHAMMAD AZAM KHAN · Jaegul Choo
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Poster
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Tue 14:00
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Confident Approximate Policy Iteration for Efficient Local Planning in qπ-realizable MDPs
Gellért Weisz · András György · Tadashi Kozuno · Csaba Szepesvari
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Poster
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Wed 14:00
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Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium
Chris Junchi Li · Dongruo Zhou · Quanquan Gu · Michael Jordan
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