Adaptive Primal-Dual Method for Safe Reinforcement Learning
- Weiqin Chen
- James Onyejizu
- et al.
- 2024
- AAMAS 2024
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17 results for Shankar Subramaniam
Pairwise Causality Guided Transformers for Event Sequences
- Xiao Shou
- Debarun Bhattacharjya
- et al.
- 2023
- NeurIPS 2023
Unleashing the Potential of Data Lakes with Semantic Enrichment using Foundation Models
- Nandana Mihindukulasooriya
- Sarthak Dash
- et al.
- 2023
- ISWC 2023
Matching Table Metadata with Business Glossaries Using Large Language Models
- Elita Lobo
- Oktie Hassanzadeh
- et al.
- 2023
- ISWC 2023
Sequential Decision Making (SDM) With Long Term Reward Estimates.
- Pavankumar Murali
- Shankar Subramaniam
- et al.
- 2023
- INFORMS 2023
Probabilistic Attention-to-Influence Neural Models for Event Sequences
- Xiao Shou
- Debarun Bhattacharjya
- et al.
- 2023
- ICML 2023
Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation
- Debarun Bhattacharjya
- Tian Gao
- et al.
- 2023
- AAAI 2023
Automated AI For Decision Optimization with Reinforcement Learning
- Shankar Subramaniam
- Takayuki Osogami
- et al.
- 2023
- AAAI 2023
An End-to-end Automated AI System for Reinforcement Learning
- Long Vu
- Todd Mummert
- et al.
- 2022
- INFORMS 2022
Addressing Solution Quality in Data-generated Optimization Models
- 2022
- AAAI 2022