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