methodology-20
Efficient Exploration
3260 papers • 126 benchmarks • 313 datasets
Efficient Exploration is one of the main obstacles in scaling up modern deep reinforcement learning algorithms. The main challenge in Efficient Exploration is the balance between exploiting current estimates, and gaining information about poorly understood states and actions. Source: Randomized Value Functions via Multiplicative Normalizing Flows
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