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Designing Societally Beneficial Reinforcement Learning Systems
April 29, 2022, noon |
The Berkeley Artificial Intelligence Research Blog bair.berkeley.edu
Deep reinforcement learning (DRL) is transitioning from a research field focused on game playing to a technology with real-world applications. Notable examples include DeepMind’s work on controlling a nuclear reactor or on improving Youtube video compression, or Tesla attempting to use a method inspired by MuZero for autonomous vehicle behavior planning. But the exciting potential for real world applications of RL should also come with a healthy dose of caution - for example RL policies are well known to …
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