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π Entity
Deep reinforcement learning
Machine learning that combines deep learning and reinforcement learning
π Rating
1 news mentions Β· π 0 likes Β· π 0 dislikes
π Topics
- AI in Hardware (1)
- Circuit Design Automation (1)
- Deep Learning Applications (1)
π·οΈ Keywords
Analog circuits (1) Β· Mixed-signal design (1) Β· Deep reinforcement learning (1) Β· Circuit synthesis (1) Β· AstRL (1) Β· Integrated circuits (1) Β· Design automation (1) Β· arXiv (1)
π Key Information
Deep reinforcement learning (deep RL) is a subfield of machine learning that combines reinforcement learning (RL) and deep learning. RL considers the problem of a computational agent learning to make decisions by trial and error. Deep RL incorporates deep learning into the solution, allowing agents to make decisions from unstructured input data without manual engineering of the state space.
π° Related News (1)
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πΊπΈ AstRL: Analog and Mixed-Signal Circuit Synthesis with Deep Reinforcement Learning
arXiv:2602.12402v1 Announce Type: cross Abstract: Analog and mixed-signal (AMS) integrated circuits (ICs) lie at the core of modern computing and com...
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Analogue electronics Β· 1 shared articles