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DeepMind Boosts RL Agents’ Retrieval Capability to Tens of Millions of Pieces of Information
June 21, 2022, 2:20 p.m. | Synced
Synced syncedreview.com
In the new paper Large-Scale Retrieval for Reinforcement Learning, a DeepMind research team dramatically expands the information accessible to reinforcement learning (RL) agents, enabling them to attend to tens of millions of information pieces, incorporate new information without retraining, and learn decision making in an end-to-end manner.
The post DeepMind Boosts RL Agents’ Retrieval Capability to Tens of Millions of Pieces of Information first appeared on Synced.
agents ai artificial intelligence deepmind deep-neural-networks information machine learning machine learning & data science ml reinforcement learning research retrieval rl robotics technology
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