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• Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements
  2020 · 16 citations
• Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?
  2020 · 15 citations
• Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control
  2018 · 5 citations
• Deep Reactive Planning in Dynamic Environments
  2020 · 5 citations
• Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning
  2019 · 4 citations
• Data-Efficient Learning for Complex and Real-Time Physical Problem Solving using Augmented Simulation
  2020 · 1 citations
• Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics
  2018
• Model-based Policy Search for Partially Measurable Systems
  2021
• Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application
  2021
• Learning Control from Raw Position Measurements
  2023