VIME: Variational Information Maximizing Exploration

NeurIPS 2016 Rein HouthooftXi ChenYan DuanJohn SchulmanFilip De TurckPieter Abbeel

Scalable and effective exploration remains a key challenge in reinforcement learning (RL). While there are methods with optimality guarantees in the setting of discrete state and action spaces, these methods cannot be applied in high-dimensional deep RL scenarios... (read more)

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