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• Safe Approximate Dynamic Programming Via Kernelized Lipschitz Estimation
  2019 · 30 citations
• 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
• Local Policy Optimization for Trajectory-Centric Reinforcement Learning
  2020 · 10 citations
• Training Larger Networks for Deep Reinforcement Learning
  2021 · 10 citations
• Deep Reactive Planning in Dynamic Environments
  2020 · 5 citations
• Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning
  2019 · 4 citations
• Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path
  2020 · 3 citations
• Data-Efficient Learning for Complex and Real-Time Physical Problem Solving using Augmented Simulation
  2020 · 1 citations
• FDPP: Fine-tune Diffusion Policy with Human Preference
  2025
• Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics
  2018
• RecoveryChaining: Learning Local Recovery Policies for Robust Manipulation
  2024