N. R. Ravishankar

Papers

1

Total Citations

25

H-Index

1

About

N. R. Ravishankar is a researcher focused on advancing artificial intelligence, with a particular emphasis on reinforcement learning (RL) and its applications in machine learning and robotic navigation. His most cited work, the 2017 survey "Reinforcement Learning Algorithms: Survey and Classification," has garnered 25 citations and stands as a key contribution to the field. In this paper, Ravishankar provides a comprehensive overview of various RL algorithms, offering a clear perspective on their evolution and trajectory. By systematically classifying these methods, he helps researchers and students navigate the complex landscape of RL, making the field more accessible and guiding future developments. His work highlights the growing importance of RL in enabling intelligent decision-making in autonomous systems. Ravishankar’s survey serves as a foundational resource for those entering the domain, reflecting his commitment to synthesizing knowledge and driving progress in AI. Through this contribution, he has established himself as a thoughtful voice in the reinforcement learning community, supporting both academic inquiry and practical innovation.

Research Focus

Key Achievements

1
H-Index
1
Papers
25
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Reinforcement Learning Algorithms: Survey and Classification
25 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 1

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago