EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning
- Kinjal Basu
- Keerthiram Murugesan
- et al.
- 2024
- EACL 2024
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301 results for Neuro-symbolic AI
Polynomial convergence of iterations of certain random operators in Hilbert space
- Soumyadip Ghosh
- Yingdong Lu
- et al.
- 2024
- Journal of Applied Analysis
Partially Observable Hierarchical Reinforcement Learning with AI Planning
- Brandon Rozek
- Junkyu Lee
- et al.
- 2024
- AAAI 2024
Effective Data Distillation for Tabular Datasets
- Inwon Kang
- Parikshit Ram
- et al.
- 2024
- AAAI 2024
Plan-SOFAI: A Neuro-Symbolic Planning Architecture
- Francesco Fabiano
- Vishal Pallagani
- et al.
- 2024
- AAAI 2024
Towards Automated AI-Assisted Workflow for Cytometry of Reaction Rate Constant
- Shai Ginsburg
- Patil Korkeen
- et al.
- 2024
- AAAI 2024
Neuro-Symbolic Learning and Reasoning in the era of Large Language Models (NuCLeaR)
- Asim Munawar
- Elham Barezi
- et al.
- 2024
- AAAI 2024
Harnessing Large Language Models for Planning: A Lab on Strategies for Success and Mitigation of Pitfalls
- Vishal Pallagani
- Keerthiram Murugesan
- et al.
- 2024
- AAAI 2024
Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates
- Sarath Sreedharan
- Michael Katz
- 2023
- NeurIPS 2023
Credal Marginal MAP
- Radu Marinescu
- Debarun Bhattacharjya
- et al.
- 2023
- NeurIPS 2023