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Training Agents using Upside-Down Reinforcement Learning

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Thomas Lahore: This is a SUPER interesting idea! Training Agents using Upside-Down Reinforcement Learning "in upside-down RL ... the roles of actions and returns are switched." https://arxiv.org/abs/1912.02877 @SchmidhuberAI https://t.co/OoipjFskNt

5 replies, 308 likes


hardmaru: Training Agents using Upside-Down Reinforcement Learning RL algorithms either predict rewards with value functions or maximize them using policy search. We study an alternative: Upside-Down RL, that solves RL problems primarily using supervised learning. https://arxiv.org/abs/1912.02877 https://t.co/bDeO4YqdDt

2 replies, 179 likes


NNAISENSE: Read them here: Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions: https://arxiv.org/abs/1912.02875 Training Agents using Upside-Down Reinforcement Learning: https://arxiv.org/abs/1912.02877

0 replies, 23 likes


hardmaru: Companion paper by @rupspace et al., with some experiments. https://twitter.com/hardmaru/status/1203944037574594560?s=21

0 replies, 18 likes


HotComputerScience: Most popular computer science paper of the day: "Training Agents using Upside-Down Reinforcement Learning" https://hotcomputerscience.com/paper/training-agents-using-upside-down-reinforcement-learning https://twitter.com/evolvingstuff/status/1203883825098420224

0 replies, 1 likes


Content

Found on Dec 09 2019 at https://arxiv.org/pdf/1912.02877.pdf

PDF content of a computer science paper: Training Agents using Upside-Down Reinforcement Learning