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Newton's method for reinforcement learning and model predictive control
Dimitri Bertsekas
Computer Science and Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
4
Scopus citations
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Dive into the research topics of 'Newton's method for reinforcement learning and model predictive control'. Together they form a unique fingerprint.
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Mathematics
Reinforcement Learning
100%
Model Predictive Control
98%
Newton Methods
63%
Line
44%
Look-ahead
42%
Training
28%
Policy
21%
Neural Networks
20%
Synergy
19%
Dynamic Programming
17%
Approximation
13%
Infinite Horizon
10%
Backgammon
8%
Performance
7%
Training Algorithm
7%
Approximate Dynamic Programming
7%
Game
7%
Control System Design
6%
Policy Iteration
6%
Design Methodology
5%
Bellman Equation
5%
Stochastic Optimal Control
5%
Context
5%
Inaccurate
5%
Artificial Intelligence
5%
Search Space
5%
Adaptive Control
5%
Enhancement
5%
Finite Horizon
5%
Framework
5%
Visualization
4%
Approximation Error
4%
Teaching
4%
Control Theory
4%
Decision Making
4%
Human
3%
Determinant
3%
Optimal Control Problem
3%
Evaluate
3%
Methodology
3%
Costs
3%
Simulation
2%
Form
1%
Model
1%
Engineering & Materials Science
Newton-Raphson method
73%
Reinforcement learning
66%
Model predictive control
66%
Dynamic programming
64%
Neural networks
40%
Control theory
13%
Artificial intelligence
11%
Visualization
10%
Systems analysis
10%
Decision making
9%
Control systems
8%
Costs
5%