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Poster
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Tue 7:00
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Asynchronous Coagent Networks
James Kostas, Chris Nota, Philip Thomas
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Poster
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Tue 7:00
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From Importance Sampling to Doubly Robust Policy Gradient
Jiawei Huang, Nan Jiang
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Poster
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Tue 7:00
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Provably Efficient Exploration in Policy Optimization
Qi Cai, Zhuoran Yang, Chi Jin, Zhaoran Wang
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Poster
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Tue 8:00
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GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values
Shangtong Zhang, Bo Liu, Shimon Whiteson
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Poster
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Tue 8:00
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Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition
Chi Jin, Tiancheng Jin, Haipeng Luo, Suvrit Sra, Tiancheng Yu
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Poster
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Tue 8:00
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Discount Factor as a Regularizer in Reinforcement Learning
Ron Amit, Ron Meir, Kamil Ciosek
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Poster
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Tue 8:00
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Representations for Stable Off-Policy Reinforcement Learning
Dibya Ghosh, Marc Bellemare
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Poster
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Tue 8:00
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Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards
Umer Siddique, Paul Weng, Matthieu Zimmer
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Poster
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Tue 9:00
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Structured Policy Iteration for Linear Quadratic Regulator
Youngsuk Park, Ryan Rossi, Zheng Wen, Gang Wu, Handong Zhao
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Poster
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Tue 9:00
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Tightening Exploration in Upper Confidence Reinforcement Learning
Hippolyte Bourel, Odalric-Ambrym Maillard, Mohammad Sadegh Talebi
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Poster
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Tue 10:00
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Sub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning
Tom Jurgenson, Or Avner, Edward Groshev, Aviv Tamar
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Poster
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Tue 10:00
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Global Concavity and Optimization in a Class of Dynamic Discrete Choice Models
Yiding Feng, Ekaterina Khmelnitskaya, Denis Nekipelov
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Poster
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Tue 10:00
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Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning
Amin Rakhsha, Goran Radanovic, Rati Devidze, Jerry Zhu, Adish Singla
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Poster
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Tue 10:00
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Logarithmic Regret for Adversarial Online Control
Dylan Foster, Max Simchowitz
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Poster
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Tue 12:00
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Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling
Yao Liu, Pierre-Luc Bacon, Emma Brunskill
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Poster
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Tue 13:00
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Learning with Good Feature Representations in Bandits and in RL with a Generative Model
Tor Lattimore, Csaba Szepesvari, Gellért Weisz
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Poster
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Tue 14:00
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Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently
Asaf Cassel, Alon Cohen, Tomer Koren
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Poster
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Tue 15:00
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Double Reinforcement Learning for Efficient and Robust Off-Policy Evaluation
Nathan Kallus, Masatoshi Uehara
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Poster
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Tue 15:00
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Thompson Sampling Algorithms for Mean-Variance Bandits
Qiuyu Zhu, Vincent Tan
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Poster
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Tue 15:00
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Invariant Causal Prediction for Block MDPs
Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup
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Poster
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Wed 5:00
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Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting
Zixin Zhong, Wang Chi Cheung, Vincent Tan
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Poster
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Wed 5:00
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Adaptive Estimator Selection for Off-Policy Evaluation
Yi Su, Pavithra Srinath, Akshay Krishnamurthy
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Poster
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Wed 8:00
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Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
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Poster
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Wed 8:00
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Identifying the Reward Function by Anchor Actions
Sinong Geng, Houssam Nassif, Charlie Manzanares, Max Reppen, Ronnie Sircar
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Poster
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Wed 9:00
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Provable Self-Play Algorithms for Competitive Reinforcement Learning
Yu Bai, Chi Jin
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Poster
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Wed 10:00
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Efficiently Solving MDPs with Stochastic Mirror Descent
Yujia Jin, Aaron Sidford
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Poster
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Wed 10:00
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Provable Representation Learning for Imitation Learning via Bi-level Optimization
Sanjeev Arora, Simon Du, Sham Kakade, Yuping Luo, Nikunj Saunshi
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Poster
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Wed 11:00
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Learning Near Optimal Policies with Low Inherent Bellman Error
Andrea Zanette, Alessandro Lazaric, Mykel Kochenderfer, Emma Brunskill
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Poster
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Wed 12:00
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No-Regret Exploration in Goal-Oriented Reinforcement Learning
Jean Tarbouriech, Evrard Garcelon, Michal Valko, Matteo Pirotta, Alessandro Lazaric
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Poster
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Wed 12:00
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Efficient Optimistic Exploration in Linear-Quadratic Regulators via Lagrangian Relaxation
Marc Abeille, Alessandro Lazaric
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Poster
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Wed 14:00
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Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes
Chen-Yu Wei, Mehdi Jafarnia, Haipeng Luo, Hiteshi Sharma, Rahul Jain
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Poster
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Wed 15:00
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Statistically Efficient Off-Policy Policy Gradients
Nathan Kallus, Masatoshi Uehara
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Poster
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Wed 16:00
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From Chaos to Order: Symmetry and Conservation Laws in Game Dynamics
Sai Ganesh Nagarajan, David Balduzzi, Georgios Piliouras
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Poster
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Thu 6:00
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On the Expressivity of Neural Networks for Deep Reinforcement Learning
Kefan Dong, Yuping Luo, Tianhe Yu, Chelsea Finn, Tengyu Ma
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Poster
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Thu 6:00
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Reward-Free Exploration for Reinforcement Learning
Chi Jin, Akshay Krishnamurthy, Max Simchowitz, Tiancheng Yu
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Poster
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Thu 6:00
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Reducing Sampling Error in Batch Temporal Difference Learning
Brahma Pavse, Ishan Durugkar, Josiah Hanna, Peter Stone
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Poster
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Thu 6:00
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Bandits for BMO Functions
Tianyu Wang, Cynthia Rudin
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Poster
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Thu 6:00
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Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation
Yaqi Duan, Zeyu Jia, Mengdi Wang
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Poster
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Thu 7:00
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Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning
Dipendra Misra, Mikael Henaff, Akshay Krishnamurthy, John Langford
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Poster
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Thu 7:00
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Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound
Lin Yang, Mengdi Wang
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Poster
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Thu 7:00
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ConQUR: Mitigating Delusional Bias in Deep Q-Learning
DiJia Su, Jayden Ooi, Tyler Lu, Dale Schuurmans, Craig Boutilier
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Poster
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Thu 7:00
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Model-Based Reinforcement Learning with Value-Targeted Regression
Alex Ayoub, Zeyu Jia, Csaba Szepesvari, Mengdi Wang, Lin Yang
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Poster
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Thu 8:00
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Momentum-Based Policy Gradient Methods
Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang
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Poster
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Thu 8:00
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Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation
Shangtong Zhang, Bo Liu, Hengshuai Yao, Shimon Whiteson
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Poster
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Thu 9:00
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On the Global Convergence Rates of Softmax Policy Gradient Methods
Jincheng Mei, Chenjun Xiao, Csaba Szepesvari, Dale Schuurmans
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Poster
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Thu 12:00
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Naive Exploration is Optimal for Online LQR
Max Simchowitz, Dylan Foster
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Poster
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Thu 12:00
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Near-optimal Regret Bounds for Stochastic Shortest Path
Aviv Rosenberg, Alon Cohen, Yishay Mansour, Haim Kaplan
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Poster
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Thu 14:00
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Optimistic Policy Optimization with Bandit Feedback
Lior Shani, Yonathan Efroni, Aviv Rosenberg, Shie Mannor
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Poster
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Thu 17:00
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Minimax Weight and Q-Function Learning for Off-Policy Evaluation
Masatoshi Uehara, Jiawei Huang, Nan Jiang
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Poster
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Thu 17:00
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Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making
Chengchun Shi, Runzhe Wan, Rui Song, Wenbin Lu, Ling Leng
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