Jaspreet Singh Bal
Papers
1
Total Citations
2
H-Index
1
About
Jaspreet Singh Bal is a researcher focused on reinforcement learning and autonomous navigation systems, with a particular emphasis on model-free, non-parametric decision-making algorithms. His most cited work, "A Simulation Study on Reinforcement Learning for Navigation Application" (2014), makes a foundational contribution by implementing and formulating Q-learning for navigation tasks. In this paper, Bal developed a comprehensive pseudo-code and algorithm that demonstrates how reinforcement learning agents can learn optimal navigation policies through simulation, bridging theoretical concepts with practical application. While his citation count remains modest, this work represents an early, accessible exploration of Q-learning's potential in autonomous systems, serving as a valuable resource for students and researchers entering the field of intelligent navigation. Bal's research contributes to the growing body of work on adaptive, learning-based control systems, offering clear methodological frameworks that help demystify reinforcement learning implementation. His approach emphasizes simulation-based validation, providing a reproducible foundation for further advances in autonomous decision-making and robotic navigation.
Research Focus
Key Achievements
Top Papers
- 1A Simulation Study on Reinforcement Learning for Navigation Application2 citations · 2014