Hierarchical Reinforcement Learning with AI Planning Models
- Junkyu Lee
- Michael Katz
- et al.
- 2023
- NeurIPS 2023
Bio
My research currently focuses on Foundation Models, Optimization for Manufacturing and Neuro-Symbolic AI.
My past research spans several research areas including:
- applied natural language processing
- reinforcement learning
- optimal control for humanoid robots
- applied computer vision
- human-robot collaboration
Publications
Neuro-Symbolic Model-based RL with Logical Neural Network
- 2023
- IJCAI 2023
Explainable Neuro-Symbolic Reinforcement Learning
- Daiki Kimura
- Stefan Zecevic
- et al.
- 2023
- IJCAI 2023
Learning Neuro-Symbolic World Models with Conversational Proprioception
- 2023
- ACL 2023
Neuro-Symbolic Reinforcement Learning with First-Order Logic
- Daiki Kimura
- Masaki Ono
- et al.
- 2021
- EMNLP 2021
Patents
- 23 Nov 2023
- CN
- ZL201910679383.2
- 21 Aug 2023
- US
- 11734575
- 12 Jun 2023
- US
- 11676032
- 26 Dec 2022
- US
- 11537872
- 12 Dec 2022
- US
- 11526729
- 14 Nov 2022
- US
- 11501157
- 22 Aug 2022
- US
- 11425496
- 08 Aug 2022
- US
- 11410023
- 28 Sep 2020
- US
- 10791398
Top collaborators
DK
Daiki Kimura
Research Scientist and Manager / Master Inventor
MT
Mich Tatsubori
Senior Technical Staff Member, GM Office, IBM Japan
AM
Asim Munawar
Program Director for Neuro-Symbolic AI
SC
Subhajit Chaudhury
Research Staff Member