Analytically solves the Mountain Car optimal control problem and proposes Chebyshev policies that outperform neural networks in RL with far fewer parameters on low-dimensional tasks.
10 Chebyshev Policies and the Mountain Car Problem A
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Chebyshev Policies and the Mountain Car Problem: Reinforcement Learning for Low-Dimensional Control Tasks
Analytically solves the Mountain Car optimal control problem and proposes Chebyshev policies that outperform neural networks in RL with far fewer parameters on low-dimensional tasks.