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Published as a conference paper at ICLR 2023
ABSTRACT
1 INTRODUCTION
2 BACKGROUND & RELATED WORK
3 METHOD
4 IS PINK NOISE ALL YOU NEED?
4.1 DOES THE NOISE TYPE MATTER?
4.2 IS PINK NOISE A GOOD DEFAULT?
5 ALL THE COLORS OF THE RAINBOW
5.1 IS COLOR-SCHEDULING BETTER THAN PINK NOISE?
5.2 IS BANDIT COLOR SELECTION BETTER THAN PINK NOISE?
6 HOW DO ACTION NOISE AND ENVIRONMENT DYNAMICS INTERACT?
7 CONCLUSION
REPRODUCIBILITY STATEMENT
Supplementary Material —— PINK NOISE IS ALL YOU NEED
A COLORED NOISE AND ORNSTEIN-UHLENBECK NOISE
A.1 ORNSTEIN-UHLENBECK NOISE GENERATION AND VARIANCE CORRECTION
A.2 GENERALITY OF ORNSTEIN-UHLENBECK NOISE
B ADDITIONAL RESULTS
B.1 TD3
B.2 MPO & SAC
C ENVIRONMENTS & ALGORITHMS
D BANDIT METHOD DETAILS
D.1 BANDIT VS. RANDOM
E SOLVING MOUNTAINCAR BY FFT
F TOY ENVIRONMENT DETAILS
F.1 OSCILLATOR ENVIRONMENT
F.2 BOUNDED INTEGRATOR ENVIRONMENT
G ADDITIONAL ENVIRONMENTS
H DETAILED RESULTS
标签：Pink,PINK,NOISE,Colored,BANDIT,ORNSTEIN,ENVIRONMENT,Noise From： https://www.cnblogs.com/lucifer1997/p/17738656.html