Successor Feature Neural Episodic Control

by Davier Emukpere, Xavier Alameda-Pineda and Chris Reinke [Paper] Abstract. A longstanding goal in reinforcement learning is to build intelligent agents that show fast learning and a flexible transfer of skills akin to humans and animals. This paper investigates the integration of two  frameworks for tackling those goals: episodic control and successor features. Episodic…

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ξ-Learning: Successor Feature Transfer Learning for General Reward Functions

by Chris Reinke and Xavier Alameda-Pineda [Paper]                 [Code] Abstract. Transfer in Reinforcement Learning aims to improve learning performance on target tasks using knowledge from experienced source tasks. Successor features (SF) are a prominent transfer mechanism in domains where the reward function changes between…

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