|
Workshop
|
Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations Felix Yanwei Wang · Nadia Figueroa · Shen Li · Ankit Shah · Julie A Shah |
||
|
Poster
|
Tue 14:00 |
Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction Dilip Arumugam · Satinder Singh |
|
|
Poster
|
Thu 9:00 |
GRASP: Navigating Retrosynthetic Planning with Goal-driven Policy Yemin Yu · Ying Wei · Kun Kuang · Zhengxing Huang · Huaxiu Yao · Fei Wu |
|
|
Poster
|
Thu 9:00 |
Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret Orestis Papadigenopoulos · Constantine Caramanis · Sanjay Shakkottai |
|
|
Poster
|
Thu 14:00 |
Latent Planning via Expansive Tree Search Robert Gieselmann · Florian T. Pokorny |
|
|
Poster
|
Thu 14:00 |
PDSketch: Integrated Domain Programming, Learning, and Planning Jiayuan Mao · Tomás Lozano-Pérez · Josh Tenenbaum · Leslie Kaelbling |
|
|
Poster
|
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 |
|
|
Poster
|
Wed 9:00 |
Self-Explaining Deviations for Coordination Hengyuan Hu · Samuel Sokota · David Wu · Anton Bakhtin · Andrei Lupu · Brandon Cui · Jakob Foerster |
|
|
Poster
|
Thu 14:00 |
Approximate Value Equivalence Christopher Grimm · Andre Barreto · Satinder Singh |
|
|
Poster
|
Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning Zifan Wu · Chao Yu · Chen Chen · Jianye Hao · Hankz Hankui Zhuo |
||
|
Poster
|
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 |
|
|
Poster
|
Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport? Alexander Korotin · Alexander Kolesov · Evgeny Burnaev |