Reinforcement learning learns state-dependent parametrization components in idealized climate models that outperform static tuning across several testbeds.
Table A.1: Four point summaries of different RL algorithms used 45 Algorithm Properties Trust Region Policy Optimisation (TRPO) (Schulman, Levine et al
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Replacing Tunable Parameters in Weather and Climate Models with State-Dependent Functions using Reinforcement Learning
Reinforcement learning learns state-dependent parametrization components in idealized climate models that outperform static tuning across several testbeds.