| Poisoned classifiers are not only backdoored, they are fundamentally broken M Sun, S Agarwal, JZ Kolter arXiv preprint arXiv:2010.09080, 2020 | 22 | 2020 |
| Learning to deceive knowledge graph augmented models via targeted perturbation M Raman, A Chan*, S Agarwal*, PF Wang, H Wang, S Kim, R Rossi, ... arXiv preprint arXiv:2010.12872, 2020 | 19 | 2020 |
| Traffic Sign Classification using Hybrid HOG-SURF Features and Convolutional Neural Networks. R Madan*, D Agrawal*, S Kowshik*, H Maheshwari*, S Agarwal*, ... ICPRAM, 613-620, 2019 | 14 | 2019 |
| Behavior Predictive Representations for Generalization in Reinforcement Learning S Agarwal, A Courville, R Agarwal Deep RL Workshop NeurIPS 2021, 2021 | 5 | 2021 |
| 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 |
| Reinforcement explanation learning S Agarwal, O Iqbal, SA Buridi, M Manjusha, A Das arXiv preprint arXiv:2111.13406, 2021 | 4 | 2021 |
| f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences S Agarwal, I Durugkar, P Stone, A Zhang Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| A Prototype of an Intelligent Ground Vehicle for constrained environment: Design and Development A Singhal, V Mohta, Y Khandelwal, A Patnaik, M Patel, J Godbole, S Priya, ... Proceedings of the 2019 2nd International Conference on Control and Robot …, 2019 | 1 | 2019 |
| Real-time lane detection, fitting and navigation for unstructured environments A Singhal, V Mohta, A Jha, Y Khandelwal, D Agrawal, S Kowshik, ... 2019 International Conference on Image and Video Processing, and Artificial …, 2019 | 1 | 2019 |
| Proto Successor Measure: Representing the space of all possible solutions of Reinforcement Learning S Agarwal, H Sikchi, P Stone, A Zhang Workshop on Reinforcement Learning Beyond Rewards@ Reinforcement Learning …, 0 | | |
| Value Implicit Pretraining does not learn Representations suitable for Reinforcement Learning H Sikchi, S Agarwal, P Stone, A Zhang, S Niekum Workshop on Reinforcement Learning Beyond Rewards@ Reinforcement Learning …, 0 | | |
| Accelerating large graph algorithms on GPU using CUDA A Pathak, K Raj, K Chowdhury, R Patra, S Porwal, S Agarwal, S Poddar | | |
| UT Austin Villa Team Description Paper A Adekanmbi, S Agarwal, S Desai, I Durugkar, S Hatgiskessell, ... | | |
| Cluster Middleware D Mittal, S Agarwal, S Shrivastava, R Kumar, K Singh | | |
| Uncertainty estimation in Neural Networks (Group-4) S Kowshik, S Agarwal, D Modi | | |
Debashish ChakravartyProfessor Department of Mining Engineering IIT KGP, IndiaVerified email at mining.iitkgp.ac.in
