FPGA Accelerator Architecture for Q-learning and its Applications in Space Exploration Rovers

FPGA Accelerator Architecture for Q-learning and its Applications in Space Exploration Rovers

abstract: Achieving human level intelligence is a long-term goal for many Artificial Intelligence (AI) researchers. Recent developments in combining deep learning and reinforcement learning helped us to move a step forward in achieving this goal. Reinforcement learning using a delayed reward mechani...

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Bibliographic Details
Other Authors: Gankidi, Pranay Reddy (Author)
Format: Dissertation
Language:English
Published: 2016
Subjects:
Computer engineering
Artificial intelligence
Online Access:http://hdl.handle.net/2286/R.I.40834

Internet

http://hdl.handle.net/2286/R.I.40834

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