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Poster
Tue 7:00 Asynchronous Coagent Networks
James Kostas · Chris Nota · Philip Thomas
Poster
Tue 7:00 Provably Efficient Exploration in Policy Optimization
Qi Cai · Zhuoran Yang · Chi Jin · Zhaoran Wang
Poster
Tue 7:00 From Importance Sampling to Doubly Robust Policy Gradient
Jiawei Huang · Nan Jiang
Poster
Tue 8:00 Discount Factor as a Regularizer in Reinforcement Learning
Ron Amit · Ron Meir · Kamil Ciosek
Poster
Tue 8:00 Representations for Stable Off-Policy Reinforcement Learning
Dibya Ghosh · Marc Bellemare
Poster
Tue 8:00 GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values
Shangtong Zhang · Bo Liu · Shimon Whiteson
Poster
Tue 8:00 Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards
Umer Siddique · Paul Weng · Matthieu Zimmer
Poster
Tue 8:00 Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition
Chi Jin · Tiancheng Jin · Haipeng Luo · Suvrit Sra · Tiancheng Yu
Poster
Tue 9:00 Structured Policy Iteration for Linear Quadratic Regulator
Youngsuk Park · Ryan A. Rossi · Zheng Wen · Gang Wu · Handong Zhao
Poster
Tue 9:00 Tightening Exploration in Upper Confidence Reinforcement Learning
Hippolyte Bourel · Odalric-Ambrym Maillard · Mohammad Sadegh Talebi
Poster
Tue 10:00 Logarithmic Regret for Adversarial Online Control
Dylan Foster · Max Simchowitz
Poster
Tue 10:00 Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning
Amin Rakhsha · Goran Radanovic · Rati Devidze · Jerry Zhu · Adish Singla