3 papers
cs.LG2020
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning
Tianren Zhang, Shangqi Guo, Tian Tan +2
Goal-conditioned hierarchical reinforcement learning (HRL) is a promising approach for scaling up reinforcement learning (RL) techniques. However, it often suffers from training in…
cs.AI2019
Subjectivity Learning Theory towards Artificial General Intelligence
Xin Su, Shangqi Guo, Feng Chen
The construction of artificial general intelligence (AGI) was a long-term goal of AI research aiming to deal with the complex data in the real world and make reasonable judgments i…
cs.AI2018
Abstraction Learning
Fei Deng, Jinsheng Ren, Feng Chen
There has been a gap between artificial intelligence and human intelligence. In this paper, we identify three key elements forming human intelligence, and suggest that abstraction…