Neural Network Architectures
Julian and Tim discuss the challenges of reinforcement learning and symbolic methods in neural network architectures. They explore the limitations of single-objective training and the benefits of multi-objective systems in tackling complex environments like the Nethack challenge.In this clip
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Machine Learning Street Talk (MLST)
#81 JULIAN TOGELIUS, Prof. KEN STANLEY - AGI, Games, Diversity & Creativity [UNPLUGGED]
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