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(11 events)   Time zone: Conference local time zone  
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Oral
Wed Jul 20 10:30 AM -- 10:50 AM (EDT) @ Room 310
A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes
In T: Game Theory/RL/Planning
Chengchun Shi · Masatoshi Uehara · Jiawei Huang · Nan Jiang
Spotlight
Wed Jul 20 10:50 AM -- 10:55 AM (EDT) @ Room 310
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces
In T: Game Theory/RL/Planning
Chi Jin · Qinghua Liu · Tiancheng Yu
Spotlight
Wed Jul 20 10:55 AM -- 11:00 AM (EDT) @ Room 310
Extracting Latent State Representations with Linear Dynamics from Rich Observations
In T: Game Theory/RL/Planning
Abraham Frandsen · Rong Ge · Holden Lee
Spotlight
Wed Jul 20 11:00 AM -- 11:05 AM (EDT) @ Room 310
For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria
In T: Game Theory/RL/Planning
Scott Emmons · Caspar Oesterheld · Andrew Critch · Vincent Conitzer · Stuart Russell
Spotlight
Wed Jul 20 11:05 AM -- 11:10 AM (EDT) @ Room 310
Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures
In T: Game Theory/RL/Planning
Nelson Vadori · Rahul Savani · Thomas Spooner · Sumitra Ganesh
Oral
Wed Jul 20 11:10 AM -- 11:30 AM (EDT) @ Room 310
Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits
In T: Game Theory/RL/Planning
Qinghua Liu · Yuanhao Wang · Chi Jin
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (EDT) @ Room 310
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses
In T: Game Theory/RL/Planning
Keegan Harris · Dung Ngo · Logan Stapleton · Hoda Heidari · Steven Wu
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (EDT) @ Room 310
Learning to Infer Structures of Network Games
In T: Game Theory/RL/Planning
Emanuele Rossi · Federico Monti · Yan Leng · Michael Bronstein · Xiaowen Dong
Spotlight
Wed Jul 20 11:40 AM -- 11:45 AM (EDT) @ Room 310
Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation
In T: Game Theory/RL/Planning
Pihe Hu · Yu Chen · Longbo Huang
Spotlight
Wed Jul 20 11:45 AM -- 11:50 AM (EDT) @ Room 310
Near-Optimal Learning of Extensive-Form Games with Imperfect Information
In T: Game Theory/RL/Planning
Yu Bai · Chi Jin · Song Mei · Tiancheng Yu
Spotlight
Wed Jul 20 11:50 AM -- 11:55 AM (EDT) @ Room 310
Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation
In T: Game Theory/RL/Planning
Chris Dann · Yishay Mansour · Mehryar Mohri · Ayush Sekhari · Karthik Sridharan