Temporal-adaptive Hierarchical Reinforcement Learning

6 Feb 2020 Wen-Ji Zhou Yang Yu

Hierarchical reinforcement learning (HRL) helps address large-scale and sparse reward issues in reinforcement learning. In HRL, the policy model has an inner representation structured in levels... (read more)

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METHOD TYPE
Entropy Regularization
Regularization
PPO
Policy Gradient Methods