A Survey of Black-Box Adversarial Attacks on Computer Vision Models S Bhambri, S Muku, A Tulasi, A Balaji Buduru arXiv preprint arXiv: 1912.01667, 2019 | 99 | 2019 |
Position: LLMs Can’t Plan, But Can Help Planning in LLM-Modulo Frameworks S Kambhampati, K Valmeekam, L Guan, M Verma, K Stechly, S Bhambri, ... (ICML) Forty-first International Conference on Machine Learning, 2024 | 27* | 2024 |
Theory of Mind abilities of Large Language Models in Human-Robot Interaction: An Illusion? M Verma*, S Bhambri*, S Kambhampati (HRI) 19th Annual ACM/IEEE International Conference on Human Robot Interaction, 2024 | 17* | 2024 |
Multiple Resource Management and Burst Time Prediction using Deep Reinforcement Learning V Kumar, S Bhambri, PG Shambharkar International Journal of Advances in Computer Science and its Applications 9 …, 2019 | 13 | 2019 |
Reinforcement Learning Methods for Wordle: A POMDP/Adaptive Control Approach S Bhambri, A Bhattacharjee, D Bertsekas (CoG) IEEE Conference on Games, arXiv preprint arXiv:2211.10298, 2023 | 12 | 2023 |
Multi-objective Reinforcement Learning based approach for User-Centric Power Optimization in Smart Home Environments S Gupta, S Bhambri, K Dhingra, AB Buduru, P Kumaraguru 2020 IEEE World Congress on Services - Smart Data Service (SMDS), 89-96, 2020 | 11* | 2020 |
Exploiting Action Distances for Reward Learning from Human Preferences M Verma, S Bhambri, S Kambhampati 2023 ICML Workshop on Many Facets of Preference Learning, 2023 | 6* | 2023 |
Contrastively Learning Visual Attention as Affordance Cues from Demonstrations for Robotic Grasping Y Zha, S Bhambri, L Guan (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021 | 6 | 2021 |
Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning A Gundawar, M Verma, L Guan, K Valmeekam, S Bhambri, ... arXiv preprint arXiv:2405.20625, 2024 | 3 | 2024 |
On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models M Verma*, S Bhambri*, S Kambhampati arXiv preprint arXiv:2405.13966, 2024 | 3 | 2024 |
Using Deception in Markov Game to Understand Adversarial Behaviors through a Capture-The-Flag Environment S Bhambri, P Chauhan, F Araujo, A Doupé, S Kambhampati (GameSec) Decision and Game Theory for Security: 13th International …, 2023 | 1 | 2023 |
A Survey on Schedulability Analysis of Rate-Adaptive Tasks PG Shambharkar, S Bhambri, A Goel, MN Doja 2019 International Conference on Machine Learning, Big Data, Cloud and …, 2019 | 1 | 2019 |
Efficient Reinforcement Learning via Large Language Model-based Search S Bhambri, A Bhattacharjee, H Liu, S Kambhampati arXiv preprint arXiv:2405.15194, 2024 | | 2024 |
Benchmarking Multi-Agent Preference-based Reinforcement Learning for Human-AI Teaming S Bhambri*, M Verma*, A Murthy, S Kambhampati arXiv preprint arXiv:2312.14292, 2023 | | 2023 |