Shripad Vilasrao Deshmukh

Shripad Vilasrao Deshmukh

Designing safe and efficient RL algorithms

Publications

Please refer to my Google Scholar profile for additional publications.

Preprints

TRIBE: Trust-Region Policy Improvement from Batch Experience
Y Chittepu*, D Gupta*, S Deshmukh*, P Thomas, S Niekum
*Equal contribution
Under submission, 2026
Convex-Concave Reinforcement Learning
S Deshmukh, Y Chittepu, D Gupta, P Thomas, S Niekum
Under submission, 2026
Projected Distillation: On learning to solve hard problems using close, correct targets
S Deshmukh, C Bock, K Ruan, A Awasthi, V Lingam, R Houthooft, M Prajapat
NeurIPS Workshop on Test-Time Continual Learning, 2026
Inverse Reinforcement Learning without an Optimal Demonstrator: A Feasible Reward Set Approach
K Kim, S Deshmukh, N Vlassis, J Zhang
Under submission, 2026
Evaluation-aware Reinforcement Learning
S Deshmukh, W Schwarzer, S Niekum
arXiv preprint, 2025

Conference Papers

COSAC: Counterfactual Credit Assignment in Sequential Cooperative Teams
S Deshmukh, J Subramanian, R Addanki, N Vlassis
Neural Information Processing Systems (NeurIPS), 2026
A Descriptive and Normative Theory of Human Beliefs in RLHF
S Dandekar, S Deshmukh, F Chiu, W B Knox, S Niekum
Transactions on Machine Learning Research (TMLR), 2025
LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-training
S Singh, S Deshmukh, M Sarkar, B Krishnamurthy
British Machine Vision Conference (BMVC), 2023
Explaining RL Decisions using Trajectories
S Deshmukh, A Dasgupta, C Agarwal, N Jiang, B Krishnamurthy, G Theocharous, J Subramanian
International Conference on Learning Representations (ICLR), 2023
One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text
A Java*, S Deshmukh*, M Aggarwal, S Jandial, M Sarkar, B Krishnamurthy
*Equal contribution
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023
Explain Your Move: Understanding Agent Actions Using Focused Feature Saliency
P Gupta, N Puri, S Verma, D Kayastha, S Deshmukh, B Krishnamurthy, S Singh
International Conference on Learning Representations (ICLR), 2020

Patents

Novel Self-supervised Object Discovery in Videos
Attorney Docket No. P12351-US, 2023
Account Executive Actionable Digest
Attorney Docket No. P12314-US, 2023
A Framework for Leveraging LLM Models and RL in Marketing Decision Making
Attorney Docket No. P12223-US, 2023
Video Object Segmentation through Flow-guided Graph-cut
Attorney Docket No. P12170-US, 2023
Novel method to propagate personalized error corrections across Forms corpus
Attorney Docket No. P12004-US, 2022
Novel Trajectory-based Explainability Framework for RL-based Decision Making
Attorney Docket No. P11853-US, 2022
Forms Similarity Matching Framework for Enhancing RnC tool in AEM Forms
Attorney Docket No. P11882-US, 2022
A Novel Multimodal One-Shot Detection Approach for Document Snippet Search
Attorney Docket No. P11686-US, 2022
Semantic Noise based Soft Label Regularization for Distilling Model Knowledge
Attorney Docket No. P11539-US, 2022
Novel method to simplify data points for easier understanding of neural networks
Attorney Docket No. P11364-US, 2022
Novel Method and Apparatus to Control Diffusion Model Image Generation
Attorney Docket No. P11343-US, 2022
Refining Element Associations for Form Structure Extraction
Attorney Docket No. P10768-US, 2021
Customer Journey Management Using Machine Learning
Attorney Docket No. P10405-US, 2021