Pulkit Verma

Employment

• Massachusetts Institute of Technology Postdoctoral Associate
  2024 - Present
• Meta Research Scientist Intern
  2023 - 2023
• NetApp Member of technical Staff - Storage Efficiency Developer
  2015 - 2018
• Tata Consultancy Services iOS Applications Developer
  2012 - 2013

Education

• Arizona State University Ph.D. in Computer Science
  2018 - 2024
• Indian Institute of Technology Guwahati Master of Technology (M.Tech.)
  2013 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (16)

• Epistemic Exploration for Generalizable Planning and Learning in Non-Stationary Settings
  Proceedings of the International Conference on Automated Planning and Scheduling 2024 DOI: 10.1609/icaps.v34i1.31489
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• Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings
  Advances in Neural Information Processing Systems 2023
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• Discovering User-Interpretable Capabilities of Black-Box Planning Agents
  Proceedings of the Nineteenth International Conference on Principles of Knowledge Representation and Reasoning 2022 DOI: 10.24963/kr.2022/36
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• Differential Assessment of Black-Box AI Agents
  Proceedings of the AAAI Conference on Artificial Intelligence 2022 DOI: 10.1609/aaai.v36i9.21223
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• JEDAI: A System for Skill-Aligned Explainable Robot Planning
  Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems 2022
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• Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
  Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing 2022 DOI: 10.18653/v1/2022.emnlp-main.340
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• JEDAI Explains Decision-Making AI
  2021
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• Learning Causal Models of Autonomous Agents using Interventions
  IJCAI 2021 Workshop on Generalization in Planning 2021
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• Data Efficient Algorithms and Interpretability Requirements for Personalized Assessment of Taskable AI Systems
  Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence 2021 DOI: 10.24963/ijcai.2021/693
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• Learning User-Interpretable Descriptions of Black-Box AI System Capabilities
  ICAPS 2021 Workshop on Knowledge Engineering for Planning and Scheduling 2021
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