Digital messages in a load control system BM Courtney, T Gill, S Gopalakrishnan, RA Shah, V Sukumar, MS Taipale, ... US Patent 9,985,436, 2018 | 31 | 2018 |
Automated learning of hierarchical task networks for controlling minecraft agents C Nguyen, N Reifsnyder, S Gopalakrishnan, H Munoz-Avila 2017 IEEE Conference on Computational Intelligence and Games (CIG), 226-231, 2017 | 16 | 2017 |
On the constrained time-series generation problem A Coletta, S Gopalakrishnan, D Borrajo, S Vyetrenko Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
Goal recognition via model-based and model-free techniques D Borrajo, S Gopalakrishnan, VK Potluru 1st Workshop on Planning for Financial Services (FinPlan) at ICAPS 2021, 2020 | 9 | 2020 |
Recognizing plans by learning embeddings from observed action distributions Y Zha, Y Li, S Gopalakrishnan, B Li, S Kambhampati Proceedings of the 17th International Conference on Autonomous Agents and …, 2017 | 8 | 2017 |
Word2htn: Learning task hierarchies using statistical semantics and goal reasoning S Gopalakrishnan, H Munoz-Avila, U Kuter 4th Workshop on Goal Reasoning (IJCAI’16), 2016 | 8 | 2016 |
pyrddlgym: From rddl to gym environments A Taitler, M Gimelfarb, J Jeong, S Gopalakrishnan, M Mladenov, X Liu, ... In the Workshop on Planning and Reinforcement Learning (PRL) at ICAPS 2023, 2022 | 7 | 2022 |
Synthesizing Policies That Account For Human Execution Errors Caused By State-Aliasing In Markov Decision Processes S Gopalakrishnan, M Verma, S Kambhampati 4th Workshop on Explainable AI Planning (XAIP) at ICAPS 2021, https …, 2021 | 6 | 2021 |
Learning task hierarchies using statistical semantics and goal reasoning S Gopalakrishnan, H Muñoz-Avila, U Kuter AI Communications 31 (2), 167-180, 2018 | 6 | 2018 |
Computing Policies That Account For The Effects Of Human Agent Uncertainty During Execution In Markov Decision Processes S Gopalakrishnan, M Verma, S Kambhampati 5th Workshop on Explainable AI Planning (XAIP) at ICAPS 2022, 2021 | 5 | 2021 |
Embedding directed graphs in potential fields using FastMap-D S Gopalakrishnan, L Cohen, S Koenig, TK Kumar Proceedings of the International Symposium on Combinatorial Search 11 (1), 48-56, 2020 | 5 | 2020 |
Minimizing Robot Navigation-Graph For Position-Based Predictability By Humans S Gopalakrishnan, S Kambhampati Proceedings of the 21st International Conference on Autonomous Agents and …, 2020 | 4* | 2020 |
TGE-viz: Transition Graph Embedding for Visualization of Plan Traces and Domains S Gopalakrishnan, S Kambhampati Extended Abstract and Demo at International Conference on Automated Planning …, 2018 | 4* | 2018 |
An architecture for novelty handling in a multi-agent stochastic environment: Case study in open-world monopoly T Thai, M Shen, N Varshney, S Gopalakrishnan, U Soni, C Baral, ... Designing Artificial Intelligence for Open Worlds: Papers from the 2022 …, 2022 | 3 | 2022 |
FinRDDL: Can AI Planning be used for Quantitative Finance Problems? S Patra, M Mahfouz, S Gopalakrishnan, D Magazzeni, M Veloso FinPlan 2023, 36, 2023 | 2 | 2023 |
Assignment and Prioritization of Tasks with Uncertain Durations for Satisfying Makespans in Decentralized Execution S Gopalakrishnan, D Borrajo Proceedings of the International Conference on Automated Planning and …, 2022 | 1 | 2022 |
Integrating Planning, Execution and Monitoring in the presence of Open World Novelties: Case Study of an Open World Monopoly Solver S Gopalakrishnan, U Soni, T Thai, P Lymperopoulos, M Scheutz, ... 5th Workshop on Integrated Planning, Acting, and Execution (IntEx) at ICAPS …, 2021 | 1 | 2021 |
Digital messages in a load control system BM Courtney, T Gill, S Gopalakrishnan, RA Shah, V Sukumar, MS Taipale, ... US Patent 10,651,653, 2020 | 1 | 2020 |
Exploration of DQN in ViZDoom S Freitas, A Dudley, S Gopalakrishnan, J Feinglass, B Clayton | 1 | 2018 |
Learning Hierarchical Task Networks Using Semantic Word Embeddings S Gopalakrishnan Lehigh University (MSc. thesis), 2017 | 1 | 2017 |