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Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations
Felix Yanwei Wang · Nadia Figueroa · Shen Li · Ankit Shah · Julie A Shah
Tue 14:00 Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction
Dilip Arumugam · Satinder Singh
Thu 9:00 GRASP: Navigating Retrosynthetic Planning with Goal-driven Policy
Yemin Yu · Ying Wei · Kun Kuang · Zhengxing Huang · Huaxiu Yao · Fei Wu
Thu 9:00 Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret
Orestis Papadigenopoulos · Constantine Caramanis · Sanjay Shakkottai
Thu 14:00 Latent Planning via Expansive Tree Search
Robert Gieselmann · Florian T. Pokorny
Thu 14:00 PDSketch: Integrated Domain Programming, Learning, and Planning
Jiayuan Mao · Tomás Lozano-Pérez · Josh Tenenbaum · Leslie Kaelbling
Thu 9:00 Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning
HYUNWOOK KANG · Taehwan Kwon · Jinkyoo Park · James R. Morrison
Wed 9:00 Self-Explaining Deviations for Coordination
Hengyuan Hu · Samuel Sokota · David Wu · Anton Bakhtin · Andrei Lupu · Brandon Cui · Jakob Foerster
Thu 14:00 Approximate Value Equivalence
Christopher Grimm · Andre Barreto · Satinder Singh
Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning
Zifan Wu · Chao Yu · Chen Chen · Jianye Hao · Hankz Hankui Zhuo
Tue 9:00 Exploration via Planning for Information about the Optimal Trajectory
Viraj Mehta · Ian Char · Joseph Abbate · Rory Conlin · Mark Boyer · Stefano Ermon · Jeff Schneider · Willie Neiswanger
Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?
Alexander Korotin · Alexander Kolesov · Evgeny Burnaev