Deep Successor Reinforcement Learning

8 Jun 2016 • Tejas D. Kulkarni • Ardavan Saeedi • Simanta Gautam • Samuel J. Gershman

Learning robust value functions given raw observations and rewards is now possible with model-free and model-based deep reinforcement learning algorithms. There is a third alternative, called Successor Representations (SR), which decomposes the value function into two components -- a reward predictor and a successor map... (read more)

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