Thinking Fast and Slow in AI G Booch, F Fabiano, L Horesh, K Kate, J Lenchner, N Linck, A Loreggia, ...
Proceedings of the 35th AAAI Conference on Artificial Intelligence, 2021
124 2021 Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines K Murugesan, M Atzeni, P Kapanipathi, P Shukla, S Kumaravel, ...
Proceedings of the 35th AAAI Conference on Artificial Intelligence, 2021
65 2021 Plansformer: Generating symbolic plans using transformers V Pallagani, B Muppasani, K Murugesan, F Rossi, L Horesh, B Srivastava, ...
arXiv preprint arXiv:2212.08681, 2022
54 2022 Adaptive Smoothed Online Multi-Task Learning K Murugesan, H Liu, J Carbonell, Y Yang
Advances in Neural Information Processing Systems (NIPS 2016), 2016
51 2016 Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach HD Fernando, H Shen, M Liu, S Chaudhury, K Murugesan, T Chen
Proceeding of 11th International Conference on Learning Representations …, 2023
48 2023 Self-Paced Multitask Learning with Shared Knowledge K Murugesan, J Carbonell
Proceedings of the 26th International Joint Conference on Artificial …, 2017
44 2017 Hybrid bisect K-means clustering algorithm K Murugesan, J Zhang
2011 International Conference on Business Computing and Global …, 2011
42 2011 On the prospects of incorporating large language models (llms) in automated planning and scheduling (aps) V Pallagani, BC Muppasani, K Roy, F Fabiano, A Loreggia, K Murugesan, ...
Proceedings of the International Conference on Automated Planning and …, 2024
41 2024 Enhancing text-based reinforcement learning agents with commonsense knowledge K Murugesan, M Atzeni, P Shukla, M Sachan, P Kapanipathi, ...
arXiv preprint arXiv:2005.00811, 2020
32 2020 Understanding the capabilities of large language models for automated planning V Pallagani, B Muppasani, K Murugesan, F Rossi, B Srivastava, L Horesh, ...
arXiv preprint arXiv:2305.16151, 2023
26 2023 On the Convergence and Sample Complexity Analysis of Deep Q-Networks with S Zhang, H Li, M Wang, M Liu, PY Chen, S Lu, S Liu, K Murugesan, ...
Advances in Neural Information Processing Systems 36, 2024
24 2024 Active learning from peers K Murugesan, J Carbonell
Advances in Neural Information Processing Systems 30, 2017
24 2017 Hybrid hierarchical clustering: An experimental analysis K Murugesan, J Zhang
University of Kentucky, Lexington, Technical Report: CMIDA-HiPSCCS, 001-11, 2011
22 2011 Multi-Task Multiple Kernel Relationship Learning K Murugesan, J Carbonell
Proceedings of the 17th SIAM International Conference on Data Mining (SDM …, 2017
19 2017 Case-based Reasoning for Better Generalization in Text-Adventure Games M Atzeni, S Dhuliawala, K Murugesan, M Sachan
Proceedings of 10th International Conference on Learning Representations …, 2022
16 * 2022 Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations K Murugesan, M Atzeni, P Kapanipathi, K Talamadupula, M Sachan, ...
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
16 2021 Multitask Matrix Completion for Learning Protein Interactions Across Diseases M Kshirsagar, J Carbonell, J Klein-Seetharaman, K Murugesan
International Conference on Research in Computational Molecular Biology …, 2016
16 2016 Detectors for safe and reliable llms: Implementations, uses, and limitations S Achintalwar, AA Garcia, A Anaby-Tavor, I Baldini, SE Berger, ...
arXiv preprint arXiv:2403.06009, 2024
14 2024 Plansformer Tool: Demonstrating Generation of Symbolic Plans Using Transformers. V Pallagani, B Muppasani, B Srivastava, F Rossi, L Horesh, K Murugesan, ...
IJCAI, 7158-7162, 2023
14 2023 A hybrid neuro-symbolic approach for text-based games using inductive logic programming K Basu, K Murugesan, M Atzeni, P Kapanipathi, K Talamadupula, ...
Combining learning and reasoning: programming languages, formalisms, and …, 2021
13 2021 