1 code implementation • 6 Sep 2021 • Xingen Gao, Fei Chao, Changle Zhou, Zhen Ge, Chih-Min Lin, Longzhi Yang, Xiang Chang, Changjing Shang
On error of value function inevitably causes an overestimation phenomenon and has a negative impact on the convergence of the algorithms.
no code implementations • 1 Jan 2021 • Xingen Gao, Fei Chao, Changle Zhou, Zhen Ge, Chih-Min Lin, Longzhi Yang, Xiang Chang, Changjing Shang
In the reinforcement learning (RL) algorithms which incorporate function approximation methods, the approximation error of value function inevitably cause overestimation phenomenon and have a negative impact on the convergence of the algorithms.
no code implementations • 13 Mar 2017 • Ruiting Lian, Ben Goertzel, Linas Vepstas, David Hanson, Changle Zhou
A new model of symbol grounding is presented, in which the structures of natural language, logical semantics, perception and action are represented categorically, and symbol grounding is modeled via the composition of morphisms between the relevant categories.