Harshit Sikchi

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Scott NiekumAssociate Professor, University of Massachusetts AmherstEmail verificata su cs.umass.edu
Amy ZhangAssistant Professor of Electrical and Computer Engineering at University of Texas at AustinEmail verificata su austin.utexas.edu
Tejus GuptaCarnegie Mellon UniversityEmail verificata su andrew.cmu.edu
David HeldAssociate Professor in the Robotics Institute, Carnegie Mellon UniversityEmail verificata su andrew.cmu.edu
Wenxuan ZhouCarnegie Mellon UniversityEmail verificata su andrew.cmu.edu
Rafael Mitkov RafailovGraduate Student, Stanford UniversityEmail verificata su stanford.edu
Chelsea FinnStanford University, Physical IntelligenceEmail verificata su cs.stanford.edu
Joey HejnaStanford UniversityEmail verificata su stanford.edu
Benjamin EysenbachPrinceton UniversityEmail verificata su princeton.edu
Lisa LeeGoogle DeepMindEmail verificata su google.com
Yufei WangPhD student at Robotics Institute, Carneige Mellon UniversityEmail verificata su andrew.cmu.edu
Tianwei NiMila, University of Montreal, AmazonEmail verificata su mila.quebec
Qinqing ZhengMetaEmail verificata su meta.com
Dorsa SadighStanford UniversityEmail verificata su cs.stanford.edu
W Bradley KnoxResearch Associate Professor at UT AustinEmail verificata su cs.utexas.edu
Ryan S ParkStanford StudentEmail verificata su stanford.edu
yaswanth chittepuUniversity of Massachusetts AmherstEmail verificata su umass.edu
Siddhant AgarwalThe University of Texas at AustinEmail verificata su cs.utexas.edu
Peter StoneProfessor of Computer Science, The University of Texas at AustinEmail verificata su cs.utexas.edu
Caleb ChuckUniversity of Texas at AustinEmail verificata su utexas.edu

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Harshit Sikchi

University of Texas at Austin

Email verificata su cs.utexas.edu - Home page

🤖 Reinforcement Learning Imitation Learning Robot Learning AI Safety


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
f-IRL: Inverse Reinforcement Learning via State Marginal Matching T Ni, H Sikchi, Y Wang, T Gupta, L Lee, B Eysenbach Proceedings of the 2020 Conference on Robot Learning, PMLR 155:529-551, 2021 155, 2020	80	2020
Contrastive Preference Learning: Learning from Human Feedback without RL J Hejna, R Rafailov, H Sikchi, C Finn, S Niekum, WB Knox, D Sadigh (ICLR 2024) International Conference on Learning Representations, 2023	61	2023
Learning Off-Policy with Online Planning H Sikchi, W Zhou, D Held ⭐Best Paper Finalist CoRL 2022⭐ Conference on Robot Learning, 1622-1633, 2022	41	2022
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms R Rafailov, Y Chittepu, R Park, H Sikchi, J Hejna*, B Knox, C Finn, ... (NeurIPS 2024) The Thirty-Eighth Annual Conference on Neural Information …, 2024	35	2024
Dual RL: Unification and new methods for reinforcement and imitation learning H Sikchi, Q Zheng, A Zhang, S Niekum ⭐Spotlight Paper ICLR 2024⭐ International Conference on Learning Representations, 2023	32*	2023
Lyapunov Barrier Policy Optimization H Sikchi, W Zhou, D Held NeurIPS Deep Reinforcement Learning Workshop 2020, 2020	20	2020
A Ranking Game for Imitation Learning H Sikchi, A Saran, W Goo, S Niekum Transactions on Machine Learning Research (TMLR), 2022	18	2022
Real robot challenge: A robotics competition in the cloud S Bauer, M Wüthrich, F Widmaier, A Buchholz, S Stark, A Goyal, ... NeurIPS 2021 Competitions and Demonstrations Track, 190-204, 2022	17*	2022
Imitative planning using conditional normalizing flow S Agarwal, H Sikchi, C Gulino, E Wilkinson ⭐Best Workshop Paper⭐ IROS 2022 Behavior-Driven Autonomous Driving in …, 2020	13	2020
Robust lane detection using multiple features T Gupta, HS Sikchi, D Charkravarty 2018 IEEE Intelligent Vehicles Symposium (IV), 1470-1475, 2018	12	2018
Illumination-invariant face recognition by fusing thermal and visual images via gradient transfer S Agarwal, HS Sikchi, S Rooj, S Bhattacharya, A Routray Advances in Computer Vision: Proceedings of the 2019 Computer Vision …, 2020	8	2020
Score Models for Offline Goal-Conditioned Reinforcement Learning H Sikchi, R Chitnis, A Touati, A Geramifard, A Zhang, S Niekum The Twelfth International Conference on Learning Representations (ICLR 2024), 2023	5	2023
Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning C Chuck, C Qi, MJ Munje, S Li, M Rudolph, C Shi, S Agarwal, H Sikchi, ... arXiv preprint arXiv:2405.03113, 2024	4	2024
Code for Advantage Weighted Actor Critic H Sikchi	3	2021
Self-Paced Policy Optimization with Safety Constraints F Yang, W Zhou, H Sikchi, D Held	1	2022
RL Zero: Zero-Shot Language to Behaviors without any Supervision H Sikchi, S Agarwal, P Jajoo, S Parajuli, C Chuck, M Rudolph, P Stone, ... arXiv preprint arXiv:2412.05718, 2024		2024
Proto Successor Measure: Representing the space of all possible solutions of Reinforcement Learning S Agarwal, H Sikchi, P Stone, A Zhang (* Equal Contribution) arXiv preprint arXiv:2411.19418, 2024		2024
A Dual Approach to Imitation Learning from Observations with Offline Datasets H Sikchi, C Chuck, A Zhang, S Niekum arXiv preprint arXiv:2406.08805, 2024		2024
Real Robot Challenge 2021: Cartesian Position Control with Triangle Grasp and Trajectory Interpolation R Madan, H Sikchi, EK Gordon, T Bhattacharjee arXiv preprint arXiv:2203.08371, 2022		2022
Striving for Safe and Efficient Deep Reinforcement Learning HS Sikchi Carnegie Mellon University Pittsburgh, PA, 2020		2020

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