CMU, Google & UC Berkeley Propose Robust Predictable Control Policies for RL Agents

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Sep 15 · 4 min read

Can too much information hinder an AI model? Take a vehicle’s lane-keeping feature, whose input is a high-resolution camera delivering millions of bits of real-time information. The model needs but a fraction of this data related to vehicle orientation to function robustly. The consideration of additional data increases the compute burden, the risk…