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GEOMETRIC INSIGHTS INTO THE CONVERGENCE OF NONLINEAR TD LEARNING
David Brandfonbrener, Joan Bruna
Computer Science
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Dive into the research topics of 'GEOMETRIC INSIGHTS INTO THE CONVERGENCE OF NONLINEAR TD LEARNING'. Together they form a unique fingerprint.
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Mathematics
Markov Chain
100%
Worst Case
100%
Ordinary Differential Equation
100%
Linear Function
100%
Counterexample
100%
Function Value
100%
Nonlinear Model
100%
Nonlinear Function
100%
Step Size
100%
Keyphrases
Temporal Difference Learning
100%
Function Approximator
80%
Temporal Difference
40%
Convergence Guarantee
40%
Markov Chain
20%
Well Conditions
20%
Linear Function
20%
Function Set
20%
Value Function
20%
Nonlinear Model
20%
Function Space
20%
Global Convergence
20%
Value Estimation
20%
Learning Dynamics
20%
Nonlinear Function Approximation
20%
Nonlinear ODE
20%
ReLU Networks
20%
Theoretical Convergence
20%