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Gokul Swamy
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2020 – today
- 2024
- [c19]Naman Khetan
, Sanyog Dewani
XCapsUTL: Cross-domain Unsupervised Transfer Learning Framework using a Capsule Neural Network. CIKM 2024: 4629-4636 - [c18]My Phan, Kianté Brantley, Stephanie Milani, Soroush Mehri, Gokul Swamy, Geoffrey J. Gordon:
When is Transfer Learning Possible? ICML 2024 - [c17]Juntao Ren, Gokul Swamy, Steven Wu, Drew Bagnell, Sanjiban Choudhury:
Hybrid Inverse Reinforcement Learning. ICML 2024 - [c16]Silvia Sapora, Gokul Swamy, Chris Lu, Yee Whye Teh, Jakob Nicolaus Foerster:
EvIL: Evolution Strategies for Generalisable Imitation Learning. ICML 2024 - [c15]Gokul Swamy, Christoph Dann, Rahul Kidambi, Steven Wu, Alekh Agarwal:
A Minimaximalist Approach to Reinforcement Learning from Human Feedback. ICML 2024 - [c14]Gokul Swamy
PEMBOT: Pareto-Ensembled Multi-task Boosted Trees. KDD 2024: 5752-5761 - [i19]Gokul Swamy, Christoph Dann, Rahul Kidambi, Zhiwei Steven Wu, Alekh Agarwal:
A Minimaximalist Approach to Reinforcement Learning from Human Feedback. CoRR abs/2401.04056 (2024) - [i18]Juntao Ren, Gokul Swamy, Zhiwei Steven Wu, J. Andrew Bagnell, Sanjiban Choudhury:
Hybrid Inverse Reinforcement Learning. CoRR abs/2402.08848 (2024) - [i17]Zhaolin Gao, Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Gokul Swamy, Kianté Brantley, Thorsten Joachims, J. Andrew Bagnell, Jason D. Lee, Wen Sun:
REBEL: Reinforcement Learning via Regressing Relative Rewards. CoRR abs/2404.16767 (2024) - [i16]Yuda Song, Gokul Swamy, Aarti Singh, J. Andrew Bagnell, Wen Sun:
Understanding Preference Fine-Tuning Through the Lens of Coverage. CoRR abs/2406.01462 (2024) - [i15]Jingwu Tang, Gokul Swamy, Fei Fang, Zhiwei Steven Wu:
Multi-Agent Imitation Learning: Value is Easy, Regret is Hard. CoRR abs/2406.04219 (2024) - [i14]Silvia Sapora, Gokul Swamy, Chris Lu, Yee Whye Teh, Jakob Nicolaus Foerster:
EvIL: Evolution Strategies for Generalisable Imitation Learning. CoRR abs/2406.11905 (2024) - [i13]Zhaolin Gao, Wenhao Zhan, Jonathan D. Chang, Gokul Swamy, Kianté Brantley, Jason D. Lee, Wen Sun:
Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF. CoRR abs/2410.04612 (2024) - [i12]Runzhe Wu, Yiding Chen, Gokul Swamy, Kianté Brantley, Wen Sun:
Diffusing States and Matching Scores: A New Framework for Imitation Learning. CoRR abs/2410.13855 (2024) - 2023
- [c13]Gokul Swamy
Causal Interpretability and Uncertainty Estimation in Mixture Density Networks. ICANN (5) 2023: 243-254 - [c12]Gokul Swamy, David Wu, Sanjiban Choudhury, Drew Bagnell, Zhiwei Steven Wu:
Inverse Reinforcement Learning without Reinforcement Learning. ICML 2023: 33299-33318 - [c11]Konwoo Kim, Gokul Swamy, Zuxin Liu, Ding Zhao, Sanjiban Choudhury, Zhiwei Steven Wu:
Learning Shared Safety Constraints from Multi-task Demonstrations. NeurIPS 2023 - [c10]Vishnu Prabhakaran, Gokul Swamy:
Image Quality Assessment using Semi-Supervised Representation Learning. WACV (Workshops) 2023: 538-547 - [i11]Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu:
Inverse Reinforcement Learning without Reinforcement Learning. CoRR abs/2303.14623 (2023) - [i10]Konwoo Kim, Gokul Swamy, Zuxin Liu, Ding Zhao, Sanjiban Choudhury, Zhiwei Steven Wu:
Learning Shared Safety Constraints from Multi-task Demonstrations. CoRR abs/2309.00711 (2023) - 2022
- [c9]Gokul Swamy, Sanjiban Choudhury, Drew Bagnell, Steven Wu:
Causal Imitation Learning under Temporally Correlated Noise. ICML 2022: 20877-20890 - [c8]Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu:
Sequence Model Imitation Learning with Unobserved Contexts. NeurIPS 2022 - [c7]Gokul Swamy, Nived Rajaraman, Matthew Peng, Sanjiban Choudhury, J. Andrew Bagnell, Steven Wu, Jiantao Jiao, Kannan Ramchandran:
Minimax Optimal Online Imitation Learning via Replay Estimation. NeurIPS 2022 - [i9]Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu:
Causal Imitation Learning under Temporally Correlated Noise. CoRR abs/2202.01312 (2022) - [i8]Gokul Swamy, Nived Rajaraman, Matthew Peng, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu, Jiantao Jiao, Kannan Ramchandran:
Minimax Optimal Online Imitation Learning via Replay Estimation. CoRR abs/2205.15397 (2022) - [i7]Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu:
Sequence Model Imitation Learning with Unobserved Contexts. CoRR abs/2208.02225 (2022) - [i6]Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu:
Game-Theoretic Algorithms for Conditional Moment Matching. CoRR abs/2208.09551 (2022) - 2021
- [c6]Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Steven Wu:
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap. ICML 2021: 10022-10032 - [i5]Gokul Swamy, Sanjiban Choudhury, Zhiwei Steven Wu, J. Andrew Bagnell:
Of Moments and Matching: Trade-offs and Treatments in Imitation Learning. CoRR abs/2103.03236 (2021) - [i4]Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu:
A Critique of Strictly Batch Imitation Learning. CoRR abs/2110.02063 (2021) - 2020
- [c5]Gokul Swamy, Siddharth Reddy, Sergey Levine, Anca D. Dragan:
Scaled Autonomy: Enabling Human Operators to Control Robot Fleets. ICRA 2020: 5942-5948
2010 – 2019
- 2019
- [c4]Rohan Choudhury, Gokul Swamy, Dylan Hadfield-Menell, Anca D. Dragan:
On the Utility of Model Learning in HRI. HRI 2019: 317-325 - [i3]Rohan Choudhury, Gokul Swamy, Dylan Hadfield-Menell, Anca D. Dragan:
On the Utility of Model Learning in HRI. CoRR abs/1901.01291 (2019) - [i2]Gokul Swamy, Siddharth Reddy, Sergey Levine, Anca D. Dragan:
Scaled Autonomy: Enabling Human Operators to Control Robot Fleets. CoRR abs/1910.02910 (2019) - 2018
- [i1]Patrick Chao, Alexander Li, Gokul Swamy:
Generative Models for Pose Transfer. CoRR abs/1806.09070 (2018) - 2014
- [c3]Hariharan Ravishankar, Aditya Saha, Gokul Swamy, Sahika Genc:
An early respiratory distress detection method with Markov models. EMBC 2014: 3438-3441 - 2013
- [c2]Pavan Annangi, Navneeth Subramanian, Satish C. Govind, Gokul Swamy, Brian Young:
Automated posteriorwall thickness measurement from B-mode ultrasound. ISBI 2013: 77-80 - 2010
- [j2]Gokul Swamy, Nicholas Bari Olivier, Ramakrishna Mukkamala
Calculation of Forward and Backward Arterial Waves by Analysis of Two Pressure Waveforms. IEEE Trans. Biomed. Eng. 57(12): 2833-2839 (2010)
2000 – 2009
- 2008
- [j1]Gokul Swamy, Ramakrishna Mukkamala
Estimation of the Aortic Pressure Waveform and Beat-to-Beat Relative Cardiac Output Changes From Multiple Peripheral Artery Pressure Waveforms. IEEE Trans. Biomed. Eng. 55(5): 1521-1529 (2008) - 2006
- [c1]Gokul Swamy, Qi Ling, Tongtong Li, Ramakrishna Mukkamala
Blind Identification of the Central Aortic Pressure Waveform from Multiple Peripheral Arterial Pressure Waveforms. EMBC 2006: 1822-1825
Coauthor Index
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