Safe Exploration in Reinforcement Learning
- π€ Speaker: Frances Ding (University of Cambridge)
- π Date & Time: Wednesday 31 January 2018, 17:00 - 18:30
- π Venue: Cambridge University Engineering Department, CBL Seminar room BE4-38. For directions see http://learning.eng.cam.ac.uk/Public/Directions
Abstract
In reinforcement learning, the learning agent always faces a tradeoff between exploration and exploitation. Often, exploration is implemented as taking random actions, but in dangerous tasks, this can lead to highly negative rewards – damage to the agent or other parts of the environment. This week we discuss methods to minimize the risks in exploration and learn good policies both safely and efficiently.
Slides: https://valuealignment.ml/talks/2018-01-31-safe-exploration.pdf
Series This talk is part of the Engineering Safe AI series.
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Wednesday 31 January 2018, 17:00-18:30