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Poster
Tue Dec 10th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #199
A Family of Robust Stochastic Operators for Reinforcement Learning
Yingdong Lu · Mark Squillante · Chai Wah Wu
Poster
Tue Dec 10th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #200
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment
Felix Leibfried · Sergio Pascual-Díaz · Jordi Grau-Moya
Poster
Tue Dec 10th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #201
Finite-Sample Analysis for SARSA with Linear Function Approximation
Shaofeng Zou · Tengyu Xu · Yingbin Liang
Poster
Tue Dec 10th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #202
Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards
Falcon Dai · Matthew Walter
Poster
Tue Dec 10th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #203
Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs
Max Simchowitz · Kevin Jamieson
Poster
Tue Dec 10th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #204
Regret Minimization for Reinforcement Learning with Vectorial Feedback and Complex Objectives
Wang Chi Cheung
Poster
Tue Dec 10th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #205
Sampling Networks and Aggregate Simulation for Online POMDP Planning
Hao(Jackson) Cui · Roni Khardon
Poster
Tue Dec 10th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #206
Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples
Tengyu Xu · Shaofeng Zou · Yingbin Liang
Poster
Tue Dec 10th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #207
Value Function in Frequency Domain and the Characteristic Value Iteration Algorithm
Amir-massoud Farahmand