Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Pothula, Aishwarya"'
The neural implementation of operant conditioning with few trials is unclear. We propose a Hippocampus-Inspired Cognitive Architecture (HICA) as a neural mechanism for operant conditioning. HICA explains a learning mechanism in which agents can learn
Externí odkaz:
http://arxiv.org/abs/2212.08626
Task-specific AI agents are showing remarkable performance across different domains. But modeling generalized AI agents like human intelligence will require more than current datasets or only reward-based environments that don't include experiences t
Externí odkaz:
http://arxiv.org/abs/2012.14842
Despite recent advances of AI research in many application-specific domains, we do not know how to build a human-level artificial intelligence (HLAI). We conjecture that learning from others' experience with the language is the essential characterist
Externí odkaz:
http://arxiv.org/abs/2011.09410
Autor:
Pothula, Aishwarya, Mondol, Md Ashaduzzaman Rubel, Narasimhan, Sanath, Islam, Sm Mazharul, Park, Deokgun
Even with impressive advances in application-specific models, we still lack knowledge about how to build a model that can learn in a human-like way and do multiple tasks. To learn in a human-like way, we need to provide a diverse experience that is c
Externí odkaz:
http://arxiv.org/abs/2009.01810
As the current trend of artificial intelligence is shifting towards self-supervised learning, conventional norms such as highly curated domain-specific data, application-specific learning models, extrinsic reward based learning policies etc. might no
Externí odkaz:
http://arxiv.org/abs/2007.09300