Andrea Agostinelli

Sample-Efficient Reinforcement Learning with Maximum Entropy Mellowmax Episodic Control

2019 · arXiv (Cornell University)

Deep networks have enabled reinforcement learning to scale to more complex and challenging domains, but these methods typically require large quantities of training data. An alternative is to use sample-efficient episodic control methods: neuro-inspired algorithms …