3 citations · 12 across the 9 of their papers we have counts for
3 papers · 1 filter
Creativity of AI: Hierarchical Planning Model Learning for Facilitating Deep Reinforcement Learning
Hankz Hankui Zhuo, Shuting Deng, Mu Jin +4
Despite of achieving great success in real-world applications, Deep Reinforcement Learning (DRL) is still suffering from three critical issues, i.e., data efficiency, lack of the i…
Retrosynthetic Planning with Experience-Guided Monte Carlo Tree Search
Siqi Hong, Hankz Hankui Zhuo, Kebing Jin +2
In retrosynthetic planning, the huge number of possible routes to synthesize a complex molecule using simple building blocks leads to a combinatorial explosion of possibilities. Ev…
Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters
Kebing Jin, Hankz Hankui Zhuo, Zhanhao Xiao +2
Dealing with planning problems with both logical relations and numeric changes in real-world dynamic environments is challenging. Existing numeric planning systems for the problem…