2 papers
cs.LG2023
Program Machine Policy: Addressing Long-Horizon Tasks by Integrating Program Synthesis and State Machines
Yu-An Lin, Chen-Tao Lee, Guan-Ting Liu +2
Deep reinforcement learning (deep RL) excels in various domains but lacks generalizability and interpretability. On the other hand, programmatic RL methods (Trivedi et al., 2021; L…
cs.LG2023
Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs
Guan-Ting Liu, En-Pei Hu, Pu-Jen Cheng +2
Aiming to produce reinforcement learning (RL) policies that are human-interpretable and can generalize better to novel scenarios, Trivedi et al. (2021) present a method (LEAPS) tha…