フォロー
Siddhant Bhambri
タイトル
引用先
引用先
年
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
1412024
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
1132019
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
382024
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
192024
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
152023
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
142019
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
13*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
9*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
92021
Do Think Tags Really Help LLMs Plan? A Critical Evaluation of ReAct-Style Prompting
M Verma, S Bhambri, S Kambhampati
NeurIPS 2024 Workshop on Adaptive Foundation Models: Evolving AI for …, 2024
8*2024
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
22019
Efficient Reinforcement Learning via Large Language Model-based Search
S Bhambri, A Bhattacharjee, H Liu, S Kambhampati
NeurIPS 2024 Workshop on Open-World Agents, 2024
12024
Incorporating Human Flexibility through Reward Preferences in Human-AI Teaming
S Bhambri*, M Verma*, U Biswas, A Murthy, S Kambhampati
arXiv preprint arXiv:2312.14292v2, 2023
12023
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
12023
Who is Helping Whom? Analyzing Inter-dependencies to Evaluate Cooperation in Human-AI Teaming
U Biswas, S Bhambri, S Kambhampati
arXiv preprint arXiv:2502.06976, 2025
2025
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