Narasimhan, Karthik

26 publications

NeurIPS 2024 SWE-Agent: Agent-Computer Interfaces Enable Automated Software Engineering John Yang, Carlos E. Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, Ofir Press

NeurIPSW 2023 Anthropomorphization of AI: Opportunities and Risks Ameet Deshpande, Tanmay Rajpurohit, Karthik Narasimhan, Ashwin Kalyan

NeurIPS 2023 InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback John Yang, Akshara Prabhakar, Karthik Narasimhan, Shunyu Yao

NeurIPSW 2023 Progressively Efficient Communication Khanh Nguyen, Ruijie Zheng, Hal Daumé Iii, Furong Huang, Karthik Narasimhan

NeurIPS 2023 Reflexion: Language Agents with Verbal Reinforcement Learning Noah Shinn, Federico Cassano, Ashwin Gopinath, Karthik Narasimhan, Shunyu Yao

NeurIPS 2023 Tree of Thoughts: Deliberate Problem Solving with Large Language Models Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Tom Griffiths, Yuan Cao, Karthik Narasimhan

NeurIPS 2022 DataMUX: Data Multiplexing for Neural Networks Vishvak Murahari, Carlos Jimenez, Runzhe Yang, Karthik Narasimhan

NeurIPS 2022 Learning Physics Constrained Dynamics Using Autoencoders Tsung-Yen Yang, Justinian P. Rosca, Karthik Narasimhan, Peter J Ramadge

ECCV 2022 Multi-Query Video Retrieval Zeyu Wang, Yu Wu, Karthik Narasimhan, Olga Russakovsky

NeurIPS 2022 Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y Hu, Robert Hawkins, Jonathan D Cohen, Nathaniel Daw, Karthik Narasimhan, Tom Griffiths

NeurIPS 2022 WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents Shunyu Yao, Howard Chen, John Yang, Karthik Narasimhan

ICML 2021 Accelerating Safe Reinforcement Learning with Constraint-Mismatched Baseline Policies Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J Ramadge

ICML 2021 Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning Austin W. Hanjie, Victor Y Zhong, Karthik Narasimhan

AAAI 2021 Learning Rewards from Linguistic Feedback Theodore R. Sumers, Mark K. Ho, Robert X. D. Hawkins, Karthik Narasimhan, Thomas L. Griffiths

NeurIPS 2021 SILG: The Multi-Domain Symbolic Interactive Language Grounding Benchmark Victor Zhong, Austin W. Hanjie, Sida Wang, Karthik Narasimhan, Luke Zettlemoyer

NeurIPS 2021 Safe Reinforcement Learning with Natural Language Constraints Tsung-Yen Yang, Michael Y Hu, Yinlam Chow, Peter J Ramadge, Karthik Narasimhan

ICML 2020 Calibration, Entropy Rates, and Memory in Language Models Mark Braverman, Xinyi Chen, Sham Kakade, Karthik Narasimhan, Cyril Zhang, Yi Zhang

NeurIPS 2020 Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky

NeurIPS 2020 Multimodal Graph Networks for Compositional Generalization in Visual Question Answering Raeid Saqur, Karthik Narasimhan

ICLR 2020 Projection-Based Constrained Policy Optimization Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge

CVPRW 2020 Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation Felix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky

ECCV 2020 Towards Unique and Informative Captioning of Images Zeyu Wang, Berthy Feng, Karthik Narasimhan, Olga Russakovsky

NeurIPS 2019 A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation Runzhe Yang, Xingyuan Sun, Karthik Narasimhan

JAIR 2018 Grounding Language for Transfer in Deep Reinforcement Learning Karthik Narasimhan, Regina Barzilay, Tommi S. Jaakkola

NeurIPS 2016 Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Tejas D Kulkarni, Karthik Narasimhan, Ardavan Saeedi, Josh Tenenbaum

ICML 2015 JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes Jonathan Huggins, Karthik Narasimhan, Ardavan Saeedi, Vikash Mansinghka