29 citations · 31 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 29 cited
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★ 1 cited
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★ 1 cited
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…