To make a reinforcement learning program for protein design, the scientists gave the computer millions of simple starting molecules. The software then made ten thousand attempts at randomly ...

Symbolic Reinforcement Learning using Inductive Logic Programming - 921kiyo/symbolic ... (RL), is shown in the figure above. ILP(RL) mainly consists of two components: inductive learning with ...

Repository implements a SMILES-based reinforcement learning framework to quantify visual complexity of organic molecules. It extracts molecular descriptors via RDKit, trains an RL agent to rank ...

Program synthesis is the task of automatically generating a program consistent with a specification. Recent years have seen proposal of a number of neural approaches for program synthesis, many of ...

It can be error-prone and time-consuming to manually create an elegant and readable schematic from a netlist. Different from the conventional graph-based methods, this paper introduces a novel analog ...