Training Agents using Upside-Down Reinforcement Learning

5 Dec 2019Rupesh Kumar SrivastavaPranav ShyamFilipe MutzWojciech JaśkowskiJürgen Schmidhuber

Traditional Reinforcement Learning (RL) algorithms either predict rewards with value functions or maximize them using policy search. We study an alternative: Upside-Down Reinforcement Learning (Upside-Down RL or UDRL), that solves RL problems primarily using supervised learning techniques... (read more)

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