Bidipta Sarkar

19 papers A* 4A 1Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning to Drive in New Cities Without Human Demonstrations. CoRR Zilin Wang, Saeed Rahmani, Daphne Cornelisse, Bidipta Sarkar, Alexander David Goldie, Jakob Nicolaus Foerster, Shimon Whiteson
2025	—	`conf`	An Interactive Agent Foundation Model. CVPR Workshops Zane Durante, Ran Gong, Bidipta Sarkar, Naoki Wake, Rohan Taori, Paul Tang, Shrinidhi Kowshika Lakshmikanth, Kevin A. Schulman, Arnold Milstein, Hoi Vo, Ehsan Adeli, Demetri Terzopoulos, Li Fei-Fei, Jianfeng Gao
2025	—	`conf`	Discrete Flow Matching is a Surprisingly Effective Post-training Method to Address Compound Error in Autoregressive Models. ICAIF Kang Li, Bidipta Sarkar, Zheng Xiong, Sascha Frey, Zilin Wang, Frensi Zejnullahu, Alfred Backhouse, Stefan Zohren, Anisoara Calinescu, Mihai Cucuringu, Jakob N. Foerster
2025	J	`jnl`	Evolution Strategies at the Hyperscale. CoRR Bidipta Sarkar, Mattie Fellows, Juan Agustin Duque, Alistair Letcher, Antonio León Villares, Anya Sims, Dylan Cope, Jarek Liesen, Lukas Seier, Theo Wolf, Uljad Berdica, Alexander David Goldie, Aaron C. Courville, Karin Sevegnani, Shimon Whiteson, Jakob Nicolaus Foerster
2025	A*	`conf`	LOB-Bench: Benchmarking Generative AI for Finance - an Application to Limit Order Book Data. ICML Peer Nagy, Sascha Yves Frey, Kang Li, Bidipta Sarkar, Svitlana Vyetrenko, Stefan Zohren, Ani Calinescu, Jakob Nicolaus Foerster
2025	J	`jnl`	LOB-Bench: Benchmarking Generative AI for Finance - an Application to Limit Order Book Data. CoRR Peer Nagy, Sascha Frey, Kang Li, Bidipta Sarkar, Svitlana Vyetrenko, Stefan Zohren, Ani Calinescu, Jakob N. Foerster
2025	A	`conf`	Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning. AAMAS Bidipta Sarkar, Warren Xia, C. Karen Liu, Dorsa Sadigh
2025	J	`jnl`	Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning. CoRR Bidipta Sarkar, Warren Xia, C. Karen Liu, Dorsa Sadigh
2024	J	`jnl`	Agent AI: Surveying the Horizons of Multimodal Interaction. CoRR Zane Durante, Qiuyuan Huang, Naoki Wake, Ran Gong, Jae Sung Park, Bidipta Sarkar, Rohan Taori, Yusuke Noda, Demetri Terzopoulos, Yejin Choi, Katsushi Ikeuchi, Hoi Vo, Li Fei-Fei, Jianfeng Gao
2024	J	`jnl`	An Interactive Agent Foundation Model. CoRR Zane Durante, Bidipta Sarkar, Ran Gong, Rohan Taori, Yusuke Noda, Paul Tang, Ehsan Adeli, Shrinidhi Kowshika Lakshmikanth, Kevin A. Schulman, Arnold Milstein, Demetri Terzopoulos, Ade Famoti, Noboru Kuno, Ashley J. Llorens, Hoi Vo, Katsushi Ikeuchi, Li Fei-Fei, Jianfeng Gao, Naoki Wake, Qiuyuan Huang
2024	A*	`conf`	Physically Grounded Vision-Language Models for Robotic Manipulation. ICRA Jensen Gao, Bidipta Sarkar, Fei Xia, Ted Xiao, Jiajun Wu, Brian Ichter, Anirudha Majumdar, Dorsa Sadigh
2024	J	`jnl`	Position Paper: Agent AI Towards a Holistic Intelligence. CoRR Qiuyuan Huang, Naoki Wake, Bidipta Sarkar, Zane Durante, Ran Gong, Rohan Taori, Yusuke Noda, Demetri Terzopoulos, Noboru Kuno, Ade Famoti, Ashley J. Llorens, John Langford, Hoi Vo, Li Fei-Fei, Katsushi Ikeuchi, Jianfeng Gao
2023	J	`jnl`	An Extensible, Data-Oriented Architecture for High-Performance, Many-World Simulation. ACM Trans. Graph. Brennan Shacklett, Luc Guy Rosenzweig, Zhiqiang Xie, Bidipta Sarkar, Andrew Szot, Erik Wijmans, Vladlen Koltun, Dhruv Batra, Kayvon Fatahalian
2023	A*	`conf`	Diverse Conventions for Human-AI Collaboration. NeurIPS Bidipta Sarkar, Andy Shih, Dorsa Sadigh
2023	J	`jnl`	Diverse Conventions for Human-AI Collaboration. CoRR Bidipta Sarkar, Andy Shih, Dorsa Sadigh
2023	J	`jnl`	Physically Grounded Vision-Language Models for Robotic Manipulation. CoRR Jensen Gao, Bidipta Sarkar, Fei Xia, Ted Xiao, Jiajun Wu, Brian Ichter, Anirudha Majumdar, Dorsa Sadigh
2022	A*	`conf`	PantheonRL: A MARL Library for Dynamic Training Interactions. AAAI Bidipta Sarkar, Aditi Talati, Andy Shih, Dorsa Sadigh
2021	J	`jnl`	PantheonRL: A MARL Library for Dynamic Training Interactions. CoRR Bidipta Sarkar, Aditi Talati, Andy Shih, Dorsa Sadigh
2020	J	`jnl`	Gaussian Process Policy Optimization. CoRR Ashish Rao, Bidipta Sarkar, Tejas Narayanan