Sanjay K. Sharma
Control and Systems Engineering · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 19 citations into it
Whom Sanjay K. Sharma trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Shuzhi Sam Ge (in Control and Systems Engineering)
- Wei He (in Control and Systems Engineering)
- Mou Chen (in Control and Systems Engineering)
Papers from Sanjay K. Sharma's perspective
Ordered by how strongly the researchers Sanjay K. Sharma trusts endorse each paper. Same corpus, a different order for every researcher.
- Continuous control with deep reinforcement learning (International Conference on Learning Representations)
- Reinforcement Learning: A Survey
- Adaptive Neural Output Feedback Tracking Control for a Class of Uncertain Discrete-Time Nonlinear Systems (IEEE Transactions on Neural Networks)
- Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints (IEEE Transactions on Cybernetics)
- Adaptive Robust Finite-Time Trajectory Tracking Control of Fully Actuated Marine Surface Vehicles (IEEE Transactions on Control Systems Technology)
- Adaptive Neural Output Feedback Control of Uncertain Nonlinear Systems With Unknown Hysteresis Using Disturbance Observer (IEEE transactions on industrial electronics (1982. Print))
- Observer-Based Adaptive Backstepping Consensus Tracking Control for High-Order Nonlinear Semi-Strict-Feedback Multiagent Systems (IEEE Transactions on Cybernetics)
- Adaptive Prescribed Performance Motion Control of Servo Mechanisms with Friction Compensation (IEEE transactions on industrial electronics (1982. Print))
- Adaptive Dynamic Surface Control for Formations of Autonomous Surface Vehicles With Uncertain Dynamics (IEEE Transactions on Control Systems Technology)
- Scaling Reinforcement Learning toward RoboCup Soccer
Their papers
- Adaptive Neural Network Control of AUVs With Control Input Nonlinearities Using Reinforcement Learning (2017) — 468 citations
- A constrained A* approach towards optimal path planning for an unmanned surface vehicle in a maritime environment containing dynamic obstacles and ocean currents (2018) — 302 citations