Learning to Ponder: Memory in Deep Neural Networks with Andrea Banino - #528
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Combining Transformers and Reinforcement Learning for Enhanced Performance
This chapter explores the synergy between transformers and reinforcement learning, emphasizing how transformers can outperform traditional LSTM networks in managing long context sequences. It introduces a hybrid approach that combines BERT's masking technique with real-valued inputs, allowing agents to adaptively utilize LSTM and transformer strengths for improved task performance.
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