Multi-Object Search using Object-Oriented POMDPs. - Arthur Wandzel; Yoonseon Oh; Michael Fishman 001; Nishanth Kumar; Lawson L. S. Wong; Stefanie Tellex (ICRA, 2019)

Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control. - Jonathan Chang; Nishanth Kumar; Sean Hastings; Aaron Gokaslan; Diego Romeres; Devesh K. Jha; Daniel Nikovski; George Dimitri Konidaris; Stefanie Tellex (CoRR, 2019)

Task Scoping for Efficient Planning in Open Worlds (Student Abstract). - Nishanth Kumar; Michael Fishman 001; Natasha Danas; Stefanie Tellex; Michael Littman 002; George Konidaris 001 (AAAI, 2020)

Building Plannable Representations with Mixed Reality. - Eric Rosen; Nishanth Kumar; Nakul Gopalan; Daniel Ullman 002; George Konidaris 001; Stefanie Tellex (IROS, 2020)

The Past and Present of Imitation Learning: A Citation Chain Study. - Nishanth Kumar (CoRR, 2020)

Task Scoping: Building Goal-Specific Abstractions for Planning in Complex Domains. - Nishanth Kumar; Michael Fishman 001; Natasha Danas; Michael Littman 002; Stefanie Tellex; George Konidaris 001 (CoRR, 2020)

Rate of change analysis for interestingness measures. - Nandan Sudarsanam; Nishanth Kumar; Abhishek Sharma; Balaraman Ravindran (Knowl. Inf. Syst., 2020)

Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes. - Sean Segal; Nishanth Kumar; Sergio Casas 002; Wenyuan Zeng; Mengye Ren; Jingkang Wang; Raquel Urtasun (CoRL, 2021)

Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes. - Sean Segal; Nishanth Kumar; Sergio Casas 002; Wenyuan Zeng; Mengye Ren; Jingkang Wang; Raquel Urtasun (CoRR, 2021)

PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX. - Guangyao Zhou; Nishanth Kumar; Miguel Lázaro-Gredilla; Shrinu Kushagra; Dileep George (CoRR, 2022)

Inventing Relational State and Action Abstractions for Effective and Efficient Bilevel Planning. - Tom Silver; Rohan Chitnis; Nishanth Kumar; Willie McClinton; Tomás Lozano-Pérez; Leslie Pack Kaelbling; Joshua B. Tenenbaum (CoRR, 2022)

Learning Operators with Ignore Effects for Bilevel Planning in Continuous Domains. - Nishanth Kumar; Willie McClinton; Rohan Chitnis; Tom Silver; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRR, 2022)

Predicate Invention for Bilevel Planning. - Tom Silver; Rohan Chitnis; Nishanth Kumar; Willie McClinton; Tomás Lozano-Pérez; Leslie Pack Kaelbling; Joshua B. Tenenbaum (AAAI, 2023)

Learning Efficient Abstract Planning Models that Choose What to Predict. - Nishanth Kumar; Willie McClinton; Rohan Chitnis; Tom Silver; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRL, 2023)

Economic Trading Susceptibility: Constructing Networks of Mutual Influence through the Fitness of Countries. - Nishanth Kumar; Henrik Jeldtoft Jensen; Eduardo Viegas 002 (Entropy, 2023)

Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction. - Aidan Curtis; Nishanth Kumar; Jing Cao; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRL, 2024)

Adaptive Language-Guided Abstraction from Contrastive Explanations. - Andi Peng; Belinda Z. Li; Ilia Sucholutsky; Nishanth Kumar; Julie Shah; Jacob Andreas; Andreea Bobu (CoRL, 2024)

Preference-Conditioned Language-Guided Abstraction. - Andi Peng; Andreea Bobu; Belinda Z. Li; Theodore R. Sumers; Ilia Sucholutsky; Nishanth Kumar; Thomas L. Griffiths 001; Julie A. Shah (HRI, 2024)

Practice Makes Perfect: Planning to Learning Skill Parameter Policies. - Nishanth Kumar; Tom Silver; Willie McClinton; Linfeng Zhao; Stephen Proulx; Tomás Lozano-Pérez; Leslie Pack Kaelbling; Jennifer L. Barry (Robotics: Science and Systems, 2024)

Practice Makes Perfect: Planning to Learn Skill Parameter Policies. - Nishanth Kumar; Tom Silver; Willie McClinton; Linfeng Zhao; Stephen Proulx; Tomás Lozano-Pérez; Leslie Pack Kaelbling; Jennifer L. Barry (CoRR, 2024)

Learning to Bridge the Gap: Efficient Novelty Recovery with Planning and Reinforcement Learning. - Alicia Li; Nishanth Kumar; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRR, 2024)

Open-World Task and Motion Planning via Vision-Language Model Inferred Constraints. - Nishanth Kumar; Fabio Ramos 001; Dieter Fox; Caelan Reed Garrett (CoRR, 2024)

AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation. - Jiafei Duan; Wilbert Pumacay; Nishanth Kumar; Yi Ru Wang; Shulin Tian; Wentao Yuan; Ranjay Krishna; Dieter Fox; Ajay Mandlekar; Yijie Guo (ICLR, 2025)

VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning. - Yichao Liang; Nishanth Kumar; Hao Tang 008; Adrian Weller; Joshua B. Tenenbaum; Tom Silver; João F. Henriques; Kevin Ellis (ICLR, 2025)

Predicate Invention from Pixels via Pretrained Vision-Language Models. - Ashay Athalye; Nishanth Kumar; Tom Silver; Yichao Liang; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRR, 2025)

Guided Exploration for Efficient Relational Model Learning. - Annie Feng; Nishanth Kumar; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRR, 2025)

Seeing is Believing: Belief-Space Planning with Foundation Models as Uncertainty Estimators. - Linfeng Zhao; Willie McClinton; Aidan Curtis; Nishanth Kumar; Tom Silver; Leslie Pack Kaelbling; Lawson L. S. Wong (CoRR, 2025)