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Thu 8:00 One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control
Wenlong Huang · Igor Mordatch · Deepak Pathak
Wed 9:00 Hallucinative Topological Memory for Zero-Shot Visual Planning
Kara Liu · Thanard Kurutach · Christine Tung · Pieter Abbeel · Aviv Tamar
Tue 11:00 Stochastically Dominant Distributional Reinforcement Learning
John Martin · Michal Lyskawinski · Xiaohu Li · Brendan Englot
Wed 10:00 Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
Angelos Filos · Panagiotis Tigas · Rowan McAllister · Nicholas Rhinehart · Sergey Levine · Yarin Gal
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
Wed 5:00 Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
Jie Xu · Yunsheng Tian · Pingchuan Ma · Daniela Rus · Shinjiro Sueda · Wojciech Matusik
Thu 7:00 Goal-Aware Prediction: Learning to Model What Matters
Suraj Nair · Silvio Savarese · Chelsea Finn
Thu 12:00 Information Particle Filter Tree: An Online Algorithm for POMDPs with Belief-Based Rewards on Continuous Domains
Johannes Fischer · Ă–mer Sahin Tas
Wed 10:00 A Game Theoretic Framework for Model Based Reinforcement Learning
Aravind Rajeswaran · Igor Mordatch · Vikash Kumar
Wed 5:00 Implicit Generative Modeling for Efficient Exploration
Neale Ratzlaff · Qinxun Bai · Fuxin Li · Wei Xu
Thu 7:00 Online Learned Continual Compression with Adaptive Quantization Modules
Lucas Caccia · Eugene Belilovsky · Massimo Caccia · Joelle Pineau
Thu 6:00 Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Vitchyr Pong · Murtaza Dalal · Steven Lin · Ashvin Nair · Shikhar Bahl · Sergey Levine