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Poster
Tue 7:00 Optimizing for the Future in Non-Stationary MDPs
Yash Chandak · Georgios Theocharous · Shiv Shankar · Martha White · Sridhar Mahadevan · Philip Thomas
Poster
Tue 7:00 Private Reinforcement Learning with PAC and Regret Guarantees
Giuseppe Vietri · Borja de Balle Pigem · Akshay Krishnamurthy · Steven Wu
Poster
Tue 7:00 Asynchronous Coagent Networks
James Kostas · Chris Nota · Philip Thomas
Poster
Tue 7:00 Evaluating the Performance of Reinforcement Learning Algorithms
Scott Jordan · Yash Chandak · Daniel Cohen · Mengxue Zhang · Philip Thomas
Poster
Tue 8:00 FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
Aman Sinha · Matthew O'Kelly · Hongrui Zheng · Rahul Mangharam · John Duchi · Russ Tedrake
Poster
Tue 8:00 Batch Reinforcement Learning with Hyperparameter Gradients
Byung-Jun Lee · Jongmin Lee · Peter Vrancx · Dongho Kim · Kee-Eung Kim
Poster
Tue 8:00 Discount Factor as a Regularizer in Reinforcement Learning
Ron Amit · Ron Meir · Kamil Ciosek
Poster
Tue 8:00 GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values
Shangtong Zhang · Bo Liu · Shimon Whiteson
Poster
Tue 8:00 Representations for Stable Off-Policy Reinforcement Learning
Dibya Ghosh · Marc Bellemare
Poster
Tue 9:00 Tightening Exploration in Upper Confidence Reinforcement Learning
Hippolyte Bourel · Odalric-Ambrym Maillard · Mohammad Sadegh Talebi
Poster
Tue 9:00 Lookahead-Bounded Q-learning
Ibrahim El Shar · Daniel Jiang
Poster
Tue 9:00 Structured Policy Iteration for Linear Quadratic Regulator
Youngsuk Park · Ryan A. Rossi · Zheng Wen · Gang Wu · Handong Zhao