Subramanya Nageshrao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Learning Algorithm

Reinforcement Learning

Autonomous Vehicles

Top Venues

IEEE Trans. Cybern.

Publications

Yashesh D. Dhebar, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, Dimitar P. Filev
Toward Interpretable-AI Policies Using Evolutionary Nonlinear Decision Trees for Discrete-Action Systems. IEEE Trans. Cybern. 54 (1) (2024)
Majid Mazouchi, Subramanya Nageshrao, Hamidreza Modares
A Risk-Averse Preview-Based Q-Learning Algorithm: Application to Highway Driving of Autonomous Vehicles. IEEE Trans. Control. Syst. Technol. 31 (4) (2023)
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
Interpretable Reinforcement Learning for Robotics and Continuous Control. CoRR (2023)
Victor G. Lopez, Frank L. Lewis, Mushuang Liu, Yan Wan, Subramanya Nageshrao, Dimitar P. Filev
Game-Theoretic Lane-Changing Decision Making and Payoff Learning for Autonomous Vehicles. IEEE Trans. Veh. Technol. 71 (4) (2022)
Mushuang Liu, Yan Wan, Frank L. Lewis, Subramanya Nageshrao, Dimitar P. Filev
A Three-Level Game-Theoretic Decision-Making Framework for Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. 23 (11) (2022)
Subramanya Nageshrao, Yousaf Rahman, Vladimir Ivanovic, Mrdjan Jankovic, H. Eric Tseng, Michael Hafner, Dimitar P. Filev
Robust AI Driving Strategy for Autonomous Vehicles. CoRR (2022)
Teawon Han, Subramanya Nageshrao, Dimitar P. Filev, Keith A. Redmill, Ümit Özgüner
An Online Evolving Method For a Safe and Fast Automated Vehicle Control System. IEEE Trans. Syst. Man Cybern. Syst. 52 (9) (2022)
Eduardo A. Soares, Plamen P. Angelov, Bruno Costa, Marcos Castro, Subramanya Nageshrao, Dimitar P. Filev
Explaining Deep Learning Models Through Rule-Based Approximation and Visualization. IEEE Trans. Fuzzy Syst. 29 (8) (2021)
Abhiroop Ghosh, Yashesh D. Dhebar, Ritam Guha, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, H. Eric Tseng, Dimitar P. Filev
Interpretable AI Agent Through Nonlinear Decision Trees for Lane Change Problem. SSCI (2021)
Songan Zhang, Huei Peng, Subramanya Nageshrao, H. Eric Tseng
Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles. CoRR (2020)
Teawon Han, Subramanya Nageshrao, Dimitar P. Filev, Ümit Özgüner
An online evolving framework for advancing reinforcement-learning based automated vehicle control. CoRR (2020)
Songan Zhang, Huei Peng, Subramanya Nageshrao, H. Eric Tseng
Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles. CVPR Workshops (2020)
Ali Baheri, Subramanya Nageshrao, H. Eric Tseng, Ilya V. Kolmanovsky, Anouck Girard, Dimitar P. Filev
Deep Reinforcement Learning with Enhanced Safety for Autonomous Highway Driving. IV (2020)
Yashesh D. Dhebar, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, Dimitar P. Filev
Interpretable-AI Policies using Evolutionary Nonlinear Decision Trees for Discrete Action Systems. CoRR (2020)
Ali Baheri, Subramanya Nageshrao, H. Eric Tseng, Ilya V. Kolmanovsky, Anouck Girard, Dimitar P. Filev
Deep Reinforcement Learning with Enhanced Safety for Autonomous Highway Driving. CoRR (2019)
Subramanya Nageshrao, H. Eric Tseng, Dimitar P. Filev
Autonomous Highway Driving using Deep Reinforcement Learning. SMC (2019)
Eduardo A. Soares, Plamen P. Angelov, Dimitar P. Filev, Bruno Costa, Marcos Castro, Subramanya Nageshrao
Explainable Density-Based Approach for Self-Driving Actions Classification. ICMLA (2019)
Subramanya Nageshrao, H. Eric Tseng, Dimitar P. Filev
Autonomous Highway Driving using Deep Reinforcement Learning. CoRR (2019)
Subramanya Nageshrao, Bruno Costa, Dimitar P. Filev
Interpretable Approximation of a Deep Reinforcement Learning Agent as a Set of If-Then Rules. ICMLA (2019)
Songan Zhang, Huei Peng, Subramanya Nageshrao, H. Eric Tseng
Discretionary Lane Change Decision Making using Reinforcement Learning with Model-Based Exploration. ICMLA (2019)