Subramanian, Jayakumar
- Approximate information state for approximate planning and reinforcement learning in partially observed systems
2020/10/17 by Jayakumar Subramanian, Amit Kumar Sinha, Subramanian, Jayakumar +5 · 11 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and Algorithms #Optimization and Control (math.OC) #Receptor Mechanisms and Signaling #Reinforcement Learning in Robotics #Systems and Control (eess.SY) #electronic engineering #information engineering
- An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare
2020/11/23 by Taylor W. Killian, Haoran Zhang, Killian, Taylor W. +7 · 6 citations
Computer Science · Mathematics · #Advanced Causal Inference Techniques #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
- Differentiable Agent-based Epidemiology
2022/07/20 by Ayush Chopra, Alexander Rodríguez, Chopra, Ayush +10 · 6 citations
Mathematics · #Artificial Intelligence (cs.AI) #COVID-19 epidemiological studies #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Populations and Evolution (q-bio.PE) #Quantitative Methods (q-bio.QM)
- Medical Dead-ends and Learning to Identify High-risk States and\n Treatments
2021/10/08 by Mehdi Fatemi, Taylor W. Killian, Fatemi, Mehdi +5 · 3 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare
- Lizard: An Efficient Linearization Framework for Large Language Models
2025/07/11 by Chien Van Nguyen, Van Nguyen, Chien, Huy Nguyen +22 · 1 voice · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CL #cs.LG
- Behavior Optimized Image Generation
2023/11/18 by Varun Khurana, Khurana, Varun, Jayakumar Subramanian +10 · 2 citations
Neuroscience · Computer Science · #Aesthetic Perception and Analysis #Image Retrieval and Classification Techniques #Generative Adversarial Networks and Image Synthesis
- DeepABM: Scalable, efficient and differentiable agent-based simulations via graph neural networks
2021/10/08 by Ayush Chopra, Chopra, Ayush, Esma S. Gel +13 · 1 citation
Computer Science · Mathematics · Medicine · Psychology · #COVID-19 diagnosis using AI #COVID-19 epidemiological studies #Data Visualization and Analytics #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Mental Health Research Topics #Multiagent Systems (cs.MA) #Probability and Statistical Research
- Robustness and sample complexity of model-based MARL for general-sum Markov games
2021/10/05 by Jayakumar Subramanian, Subramanian, Jayakumar, Amit Kumar Sinha +3 · 1 citation
Computer Science · Decision Sciences · #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Game Theory and Applications #Multiagent Systems (cs.MA) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics #Systems and Control (eess.SY) #electronic engineering #information engineering
- Inducing Cooperative behaviour in Sequential-Social dilemmas through Multi-Agent Reinforcement Learning using Status-Quo Loss
2020/01/15 by Pinkesh Badjatiya, Mausoom Sarkar, Badjatiya, Pinkesh +11 · 1 citation
Social Sciences · Psychology · #Evolutionary Game Theory and Cooperation #Experimental Behavioral Economics Studies #Evolutionary Psychology and Human Behavior
- Offline RL by Reward-Weighted Fine-Tuning for Conversation Optimization
2025/06/08 by Mukherjee, Subhojyoti, Lai, Viet Dac, Addanki, Raghavendra +6 · 2 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)