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Generalization in Planning
Accepted Papers
Accepted Papers
- Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari and Yuandong Tian. Bayesian Relational Memory for Planning in Semantic Visual Navigation.
- Sarah Keren, Luis Pineda, Avigdor Gal, Erez Karpas and Shlomo Zilberstein. Efficient Heuristic Search for Optimal Environment Redesign.
- Sarah Keren, Haifeng Xu, Kofi Kwapong, David Parkes and Barbara Grosz. Information Shaping for Enhanced Goal Recognition of Partially-Informed Agents.
- Guillem Francès , Augusto B. Corrêa , Cedric Geissmann and Florian Pommerening. Generalized Potential Heuristics for Classical Planning.
- Richa Verma, Aniruddha Singhal, Harshad Khadilkar, Ansuma Basumatary, Siddharth Nayak, Harsh Vardhan Singh, Swagat Kumar and Rajesh Sinha. A Generalized Reinforcement Learning Algorithm for Online 3D Bin-Packing.
- Jeevana Priya Inala, Osbert Bastani, Zenna Tavares and Armando Solar-Lezama. Synthesizing Programmatic Policies that Inductively Generalize. (ICLR version)
- Philip Korsunsky, Stav Belogolovsky, Tom Zahavy, Chen Tessler and Shie Mannor. Inverse Reinforcement Learning in Contextual MDPs. (ICLR version)
- León Illanes and Sheila McIlraith. Generalized Planning via Abstraction: Arbitrary Numbers of Objects. (slides)
- Tom Silver, Rohan Chitnis, Anurag Ajay, Josh Tenenbaum and Leslie Kaelbling. Learning Skill Hierarchies from Predicate Descriptions and Self-Supervision.
- Huazhe Xu, Boyuan Chen, Yang Gao and Trevor Darrell. Scoring-Aggregating-Planning: Learning task-agnostic priors from interactions and sparse rewards for zero-shot generalization.
- Frederick Callaway, Bas van Opheusden, Erin Grant and Thomas Griffiths. Generalization in planning by metalearning to metareason.
- Kara Liu, Thanard Kurutach, Aviv Tamar and Pieter Abbeel. Hallucinative Topological Memory for Zero-Shot Visual Planning. (ICLR version)
- William Shen, Felipe Trevizan and Sylvie Thiebaux. Learning Delete-Relaxation Heuristics over Hypergraphs.
- Alejandro Suárez-Hernández, Javier Segovia-Aguas, Carme Torras and Guillem Alenya. STRIPS Action Discovery.
- Pulkit Verma and Sidddharth Srivastava. Learning Generalized Models by Interrogating Black-Box Autonomous Agents.
- Richard Freedman, Scott Friedman, David Musliner and Michael Pelican. Creative Problem Solving Through Automated Planning and Analogy.
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