Neuro-Symbolic Reinforcement Learning with First-Order Logic

21 October 2021

Papers citing "Neuro-Symbolic Reinforcement Learning with First-Order Logic"

9 / 9 papers shown

Title
Neuro-Symbolic AI in 2024: A Systematic Review Brandon C. Colelough William Regli NAI 65 9 0 09 Jan 2025
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation Bowen Li Zhaoyu Li Qiwei Du Jinqi Luo Wenshan Wang ... Katia P. Sycara Pradeep Kumar Ravikumar Alexander G. Gray X. Si Sebastian A. Scherer AI4CE LRM 81 3 0 01 Nov 2024
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning Hikaru Shindo Quentin Delfosse D. Dhami Kristian Kersting 41 3 0 15 Oct 2024
Introspective Tips: Large Language Model for In-Context Decision Making Liting Chen Lu Wang Hang Dong Yali Du Jie Yan ... Pu Zhao Si Qin Saravan Rajmohan Qingwei Lin Dongmei Zhang LLMAG LRM 34 23 0 19 May 2023
Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search Wenqing Zheng S. Sharan Zhiwen Fan Kevin Wang Yihan Xi Zhangyang Wang 58 9 0 30 Dec 2022
DiffG-RL: Leveraging Difference between State and Common Sense Tsunehiko Tanaka Daiki Kimura Michiaki Tatsubori 14 0 0 29 Nov 2022
Learning to Follow Instructions in Text-Based Games Mathieu Tuli Andrew C. Li Pashootan Vaezipoor Toryn Q. Klassen Scott Sanner Sheila A. McIlraith 30 13 0 08 Nov 2022
Commonsense Knowledge from Scene Graphs for Textual Environments Tsunehiko Tanaka Daiki Kimura Michiaki Tatsubori 18 2 0 19 Oct 2022
TextWorldExpress: Simulating Text Games at One Million Steps Per Second Peter Alexander Jansen Marc-Alexandre Côté VLM LRM 24 6 0 01 Aug 2022