Presentation information

International Session

International Session » ES-2 Machine learning

[2S5-IS-2c] Machine learning

Wed. Jun 15, 2022 3:20 PM - 5:00 PM Room S (Online S)

Chair: Jun Sakuma (University of Tsukuba)

4:20 PM - 4:40 PM

[2S5-IS-2c-04] Learning Lifted Operator Models with Logical Neural Networks

〇Don Joven Agravante1, Michiaki Tatsubori1 (1. IBM Research)


Keywords:Logical Neural Network, Model Based Reinforcement Learning

We tackle the problem of relational model based reinforcement learning. Specifically, we are trying to learn lifted logical operator models from interacting with an environment whose states and actions are in a logic form. For this problem, we leverage the capability of the Logical Neural Network (LNN) which is designed for learning with logic statements. We show the feasibility of the LNN in this problem setting and discuss how this approach might be extended to handle contemporary RL environments which do not have logical states.

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