Subramanya Nageshrao

37 papers B 1C 4Journal 25Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Hierarchical Game-Based Multi-Agent Decision-Making for Autonomous Vehicles. CoRR Mushuang Liu, Yan Wan, Frank L. Lewis, Subramanya Nageshrao, H. Eric Tseng, Dimitar P. Filev
2024	J	`jnl`	Faster Model Predictive Control via Self-Supervised Initialization Learning. CoRR Zhaoxin Li, Letian Chen, Rohan R. Paleja, Subramanya Nageshrao, Matthew C. Gombolay
2024	J	`jnl`	Toward Interpretable-AI Policies Using Evolutionary Nonlinear Decision Trees for Discrete-Action Systems. IEEE Trans. Cybern. Yashesh D. Dhebar, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, Dimitar P. Filev
2023	J	`jnl`	A Risk-Averse Preview-Based Q-Learning Algorithm: Application to Highway Driving of Autonomous Vehicles. IEEE Trans. Control. Syst. Technol. Majid Mazouchi, Subramanya Nageshrao, Hamidreza Modares
2023	J	`jnl`	Finite-time Koopman Identifier: A Unified Batch-online Learning Framework for Joint Learning of Koopman Structure and Parameters. J. Mach. Learn. Res. Majid Mazouchi, Subramanya Nageshrao, Hamidreza Modares
2023	J	`jnl`	Interpretable Reinforcement Learning for Robotics and Continuous Control. CoRR Rohan R. Paleja, Letian Chen, Yaru Niu, Andrew Silva, Zhaoxin Li, Songan Zhang, Chace Ritchie, Sugju Choi, Kimberlee Chestnut Chang, Hongtei Eric Tseng, Yan Wang, Subramanya Nageshrao, Matthew C. Gombolay
2022	J	`jnl`	A Three-Level Game-Theoretic Decision-Making Framework for Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. Mushuang Liu, Yan Wan, Frank L. Lewis, Subramanya Nageshrao, Dimitar P. Filev
2022	J	`jnl`	An Online Evolving Method For a Safe and Fast Automated Vehicle Control System. IEEE Trans. Syst. Man Cybern. Syst. Teawon Han, Subramanya Nageshrao, Dimitar P. Filev, Keith A. Redmill, Ümit Özgüner
2022	J	`jnl`	Conflict-Aware Safe Reinforcement Learning: A Meta-Cognitive Learning Framework. IEEE CAA J. Autom. Sinica Majid Mazouchi, Subramanya Nageshrao, Hamidreza Modares
2022	J	`jnl`	Game-Theoretic Lane-Changing Decision Making and Payoff Learning for Autonomous Vehicles. IEEE Trans. Veh. Technol. Victor G. Lopez, Frank L. Lewis, Mushuang Liu, Yan Wan, Subramanya Nageshrao, Dimitar P. Filev
2022	J	`jnl`	Robust AI Driving Strategy for Autonomous Vehicles. CoRR Subramanya Nageshrao, Yousaf Rahman, Vladimir Ivanovic, Mrdjan Jankovic, H. Eric Tseng, Michael Hafner, Dimitar P. Filev
2021	J	`jnl`	A Convex Programming Approach to Data-Driven Risk-Averse Reinforcement Learning. CoRR Yuzhen Han, Majid Mazouchi, Subramanya Nageshrao, Hamidreza Modares
2021	—	`conf`	A One-shot Convex Optimization Approach to Risk-Averse Q-Learning. CDC Yuzhen Han, Majid Mazouchi, Subramanya Nageshrao, Hamidreza Modares
2021	J	`jnl`	A Risk-Averse Preview-based Q-Learning Algorithm: Application to Highway Driving of Autonomous Vehicles. CoRR Majid Mazouchi, Subramanya Nageshrao, Hamidreza Modares
2021	J	`jnl`	Assured Learning-enabled Autonomy: A Metacognitive Reinforcement Learning Framework. CoRR Aquib Mustafa, Majid Mazouchi, Subramanya Nageshrao, Hamidreza Modares
2021	J	`jnl`	Explaining Deep Learning Models Through Rule-Based Approximation and Visualization. IEEE Trans. Fuzzy Syst. Eduardo A. Soares, Plamen P. Angelov, Bruno Costa, Marcos Castro, Subramanya Nageshrao, Dimitar P. Filev
2021	J	`jnl`	Finite-time Koopman Identifier: A Unified Batch-online Learning Framework for Joint Learning of Koopman Structure and Parameters. CoRR Majid Mazouchi, Subramanya Nageshrao, Hamidreza Modares
2021	—	`conf`	Interpretable AI Agent Through Nonlinear Decision Trees for Lane Change Problem. SSCI Abhiroop Ghosh, Yashesh D. Dhebar, Ritam Guha, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, H. Eric Tseng, Dimitar P. Filev
2020	J	`jnl`	An online evolving framework for advancing reinforcement-learning based automated vehicle control. CoRR Teawon Han, Subramanya Nageshrao, Dimitar P. Filev, Ümit Özgüner
2020	C	`conf`	Deep Reinforcement Learning with Enhanced Safety for Autonomous Highway Driving. IV Ali Baheri, Subramanya Nageshrao, H. Eric Tseng, Ilya V. Kolmanovsky, Anouck Girard, Dimitar P. Filev
2020	—	`conf`	Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles. CVPR Workshops Songan Zhang, Huei Peng, Subramanya Nageshrao, H. Eric Tseng
2020	J	`jnl`	Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles. CoRR Songan Zhang, Huei Peng, Subramanya Nageshrao, H. Eric Tseng
2020	J	`jnl`	Interpretable-AI Policies using Evolutionary Nonlinear Decision Trees for Discrete Action Systems. CoRR Yashesh D. Dhebar, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, Dimitar P. Filev
2019	B	`conf`	Autonomous Highway Driving using Deep Reinforcement Learning. SMC Subramanya Nageshrao, H. Eric Tseng, Dimitar P. Filev
2019	J	`jnl`	Autonomous Highway Driving using Deep Reinforcement Learning. CoRR Subramanya Nageshrao, H. Eric Tseng, Dimitar P. Filev
2019	J	`jnl`	Deep Reinforcement Learning with Enhanced Safety for Autonomous Highway Driving. CoRR Ali Baheri, Subramanya Nageshrao, H. Eric Tseng, Ilya V. Kolmanovsky, Anouck Girard, Dimitar P. Filev
2019	C	`conf`	Discretionary Lane Change Decision Making using Reinforcement Learning with Model-Based Exploration. ICMLA Songan Zhang, Huei Peng, Subramanya Nageshrao, H. Eric Tseng
2019	C	`conf`	Explainable Density-Based Approach for Self-Driving Actions Classification. ICMLA Eduardo A. Soares, Plamen Angelov, Dimitar P. Filev, Bruno Costa, Marcos Castro, Subramanya Nageshrao
2019	C	`conf`	Interpretable Approximation of a Deep Reinforcement Learning Agent as a Set of If-Then Rules. ICMLA Subramanya Nageshrao, Bruno Costa, Dimitar P. Filev
2019	J	`jnl`	Reinforcement learning based compensation methods for robot manipulators. Eng. Appl. Artif. Intell. Yudha P. Pane, Subramanya Nageshrao, Jens Kober, Robert Babuska
2017	—	`conf`	Model-based real-time control of a magnetic manipulator system. CDC Jan-Willem Damsteeg, Subramanya Nageshrao, Robert Babuska
2016	—	`conf`	Actor-critic reinforcement learning for tracking control in robotics. CDC Yudha P. Pane, Subramanya Nageshrao, Robert Babuska
2016	—	`—`	Online learning algorithms: For passivity-based and distributed control. Subramanya Nageshrao
2016	J	`jnl`	Optimal model-free output synchronization of heterogeneous systems using off-policy reinforcement learning. Autom. Hamidreza Modares, Subramanya Nageshrao, Gabriel Alexandre Delgado Lopes, Robert Babuska, Frank L. Lewis
2016	J	`jnl`	Port-Hamiltonian Systems in Adaptive and Learning Control: A Survey. IEEE Trans. Autom. Control. Subramanya Nageshrao, Gabriel A. D. Lopes, Dimitri Jeltsema, Robert Babuska
2015	J	`jnl`	Reinforcement Learning for Port-Hamiltonian Systems. IEEE Trans. Cybern. Olivier Sprangers, Robert Babuska, Subramanya Nageshrao, Gabriel A. D. Lopes
2014	—	`conf`	Rapid learning in sequential composition control. CDC Esmaeil Najafi, Gabriel A. D. Lopes, Subramanya Nageshrao, Robert Babuska