Nishanth Kumar

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Graphical Models

Interestingness Measures

Complex Domains

Predicate Invention

Top Venues

Publications

Nishanth Kumar, Tom Silver, Willie McClinton, Linfeng Zhao, Stephen Proulx, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Jennifer L. Barry
Practice Makes Perfect: Planning to Learn Skill Parameter Policies. CoRR (2024)
Aidan Curtis, Nishanth Kumar, Jing Cao, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction. CoRR (2024)
Andi Peng, Andreea Bobu, Belinda Z. Li, Theodore R. Sumers, Ilia Sucholutsky, Nishanth Kumar, Thomas L. Griffiths, Julie A. Shah
Preference-Conditioned Language-Guided Abstraction. CoRR (2024)
Andi Peng, Andreea Bobu, Belinda Z. Li, Theodore R. Sumers, Ilia Sucholutsky, Nishanth Kumar, Thomas L. Griffiths, Julie A. Shah
Preference-Conditioned Language-Guided Abstraction. HRI (2024)
Nishanth Kumar, Willie McClinton, Rohan Chitnis, Tom Silver, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Learning Efficient Abstract Planning Models that Choose What to Predict. CoRL (2023)
Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum
Predicate Invention for Bilevel Planning. AAAI (2023)
Nishanth Kumar, Henrik Jeldtoft Jensen, Eduardo Viegas
Economic Trading Susceptibility: Constructing Networks of Mutual Influence through the Fitness of Countries. Entropy 25 (1) (2023)
Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum
Inventing Relational State and Action Abstractions for Effective and Efficient Bilevel Planning. CoRR (2022)
Nishanth Kumar, Willie McClinton, Rohan Chitnis, Tom Silver, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Learning Operators with Ignore Effects for Bilevel Planning in Continuous Domains. CoRR (2022)
Guangyao Zhou, Nishanth Kumar, Miguel Lázaro-Gredilla, Shrinu Kushagra, Dileep George
PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX. CoRR (2022)
Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun
Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes. CoRR (2021)
Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun
Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes. CoRL (2021)
Nandan Sudarsanam, Nishanth Kumar, Abhishek Sharma, Balaraman Ravindran
Rate of change analysis for interestingness measures. Knowl. Inf. Syst. 62 (1) (2020)
Eric Rosen, Nishanth Kumar, Nakul Gopalan, Daniel Ullman, George Konidaris, Stefanie Tellex
Building Plannable Representations with Mixed Reality. IROS (2020)
Nishanth Kumar
The Past and Present of Imitation Learning: A Citation Chain Study. CoRR (2020)
Nishanth Kumar, Michael Fishman, Natasha Danas, Michael L. Littman, Stefanie Tellex, George Konidaris
Task Scoping: Building Goal-Specific Abstractions for Planning in Complex Domains. CoRR (2020)
Nishanth Kumar, Michael Fishman, Natasha Danas, Stefanie Tellex, Michael L. Littman, George Konidaris
Task Scoping for Efficient Planning in Open Worlds (Student Abstract). AAAI (2020)
Jonathan Chang, Nishanth Kumar, Sean Hastings, Aaron Gokaslan, Diego Romeres, Devesh K. Jha, Daniel Nikovski, George Dimitri Konidaris, Stefanie Tellex
Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control. CoRR (2019)
Arthur Wandzel, Yoonseon Oh, Michael Fishman, Nishanth Kumar, Lawson L. S. Wong, Stefanie Tellex
Multi-Object Search using Object-Oriented POMDPs. ICRA (2019)
Nandan Sudarsanam, Nishanth Kumar, Abhishek Sharma, Balaraman Ravindran
Rate of Change Analysis for Interestingness Measures. CoRR (2017)