Reading Checklist
The ever expanding universe of interesting papers and book chapters that I want to go through.
Papers
- Constrained Dynamical Systems, Robust Model Reference Adaptive Control, and Unreliable Reference Signals
- Smooth Extensions of Feedback Motion Planners via Reference Governors
- Prediction-Correction Interior-Point Method for Time-Varying Convex Optimization
- Search-based Motion Planning for Aggressive Flight in SE(3)
- Distributed Algorithms for Stochastic Source Seeking With Mobile Robot Networks
- Approximating Explicit Model Predictive Control Using Constrained Neural Networks
- Memory Augmented Control Networks
- Search-based Motion Planning for Quadrotors using Linear Quadratic Minimum Time Control
- A Convex Optimization Approach to Smooth Trajectories for Motion Planning with Car-Like Robots
- An Asymptotically-Optimal Sampling-Based Algorithm for Bi-directional Motion Planning
- Hindsight Experience Replay
- Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty
- Deterministic Policy Gradient Algorithms
- Trust Region Policy Optimization
- PILCO: A Model-Based and Data-Efficient Approach to Policy Search
- Control-Limited Differential Dynamic Programming
- Human-level control through deep reinforcement learning