- Approximate Optimal Trajectory Tracking With Sparse Bellman Error ...🔍
- Reinforcement Learning with Sparse Bellman Error Extrapolation for ...🔍
- Max Greene🔍
- NCR Affiliated Publications for Matthew Bellman🔍
- Approximate optimal influence over an agent through an uncertain ...🔍
- Approximate optimal trajectory tracking for continuous|time ...🔍
- Optimal trajectory tracking for uncertain linear discrete‐time systems ...🔍
- Scott A. Nivison🔍
Approximate Optimal Trajectory Tracking With Sparse Bellman Error ...
Approximate Optimal Trajectory Tracking With Sparse Bellman Error ...
This article provides an approximate online adaptive solution to the infinite-horizon optimal tracking problem for control-affine continuous-time nonlinear ...
Approximate Optimal Trajectory Tracking With Sparse Bellman Error ...
Approximate Optimal Trajectory Tracking With Sparse. Bellman Error Extrapolation. Max L. Greene , Member, IEEE, Patryk Deptula , Scott Nivison ...
Approximate Optimal Trajectory Tracking With Sparse Bellman Error ...
Request PDF | Approximate Optimal Trajectory Tracking With Sparse Bellman Error Extrapolation | This paper provides an approximate online ...
Approximate Optimal Trajectory Tracking With Sparse Bellman Error ...
Off-policy trajectories are selected within each segment to facilitate learning of the value function weight estimates; this process is called Bellman error (BE) ...
Reinforcement Learning with Sparse Bellman Error Extrapolation for ...
Approximate Optimal Trajectory Tracking With Sparse Bellman Error Extrapolation · Engineering, Computer Science. IEEE Transactions on Automatic Control · 2023.
Max Greene - Google Scholar
2021. Approximate optimal trajectory tracking with sparse bellman error extrapolation. ML Greene, P Deptula, S Nivison, WE Dixon. IEEE Transactions on ...
NCR Affiliated Publications for Matthew Bellman
2023, Journal, M. L. Greene, P. Deptula, S. Nivison, W. E. Dixon, "Approximate Optimal Trajectory Tracking with Sparse Bellman Error Extrapolation," IEEE Trans.
Approximate optimal influence over an agent through an uncertain ...
An approximate optimal indirect regulation problem is considered for two nonlinear uncertain agents. An influencing agent is tasked with optimally intercepting ...
Approximate optimal trajectory tracking for continuous-time ...
(2022)Reinforcement Learning with Sparse Bellman Error Extrapolation for Infinite-Horizon Approximate Optimal Regulation2019 IEEE 58th Conference on ...
Optimal trajectory tracking for uncertain linear discrete‐time systems ...
Instead, our approach can dynamically incorporate segments (finite horizons) of reference trajectories and autonomously learn an optimal control ...
Approximate Optimal Trajectory Tracking With Sparse Bellman Error Extrapolation. IEEE Trans. Autom. Control. 68(6): 3618-3624 (2023); 2022. [c11]. view.
The real trajectory is very approximate to the reference trajectory since the size new tube shape ... Hamilton–jacobi–bellman equations. In.
Model-based reinforcement learning for infinite-horizon approximate ...
This paper provides an approximate online adaptive solution to the infinite-horizon optimal tracking problem for control-affine continuous-time nonlinear ...
Approximate optimal and scalable control for collision-free formation ...
... trajectory optimization. IEEE Robot. Automat. Lett. 6(2), 405–412 ... Approximate optimal trajectory tracking with sparse bellman error extrapolation.
Scott Nivison - Google Scholar
2018. Approximate optimal trajectory tracking with sparse bellman error extrapolation. ML Greene, P Deptula, S Nivison, WE Dixon. IEEE Transactions on ...
An Introduction to Trajectory Optimization: How to Do Your Own ...
A solution to a trajectory optimization problem is said to be feasible if it satisfies all of the problem requirements, known as constraints. In general, there ...
In any case, trajectory optimization methods begin by reformulating (2) as a finite-dimensional optimization problem over some representation of the state and ...
Mixed Density Methods for Approximate Dynamic Programming
... approximate optimal tracking control for unknown general ... sparse bellman error extrapolation for infinite-horizon approximate optimal regulation.
Trajectory-Based Dynamic Programming
Because we keep track of the direction of the error and multiple rotations around the hinge, there is a unique optimal trajectory. In general there may be mul-.
Dual Agent Learning Based Aerial Trajectory Tracking - arXiv
Accurate trajectory tracking is required for performing several of these tasks in cluttered and complex environments. However, it remains an ...