Introducing Trial-and-Error Exploration to Avoid Critical Failure for Efficient Reinforcement Learning
- Minori Narita
- Daiki Kimura
- 2023
- IJCAI 2023
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141 results for Explainable AI
Explainable Neuro-Symbolic Reinforcement Learning
- Daiki Kimura
- Stefan Zecevic
- et al.
- 2023
- IJCAI 2023
Decoding Superpositions of Bound Symbols Represented by Distributed Representations
- Michael Hersche
- Zuzanna Opala
- et al.
- 2023
- NeSy 2023
Solving Raven's Progressive Matrices via a Neuro-vector-symbolic Architecture
- Michael Hersche
- Mustafa Zeqiri
- et al.
- 2023
- NeSy 2023
Reduced Order Modeling of Dynamical Systems Using Artificial Neural Networks Applied to Water Circulation
- 2020
- ISC 2020
Improving the Performance and Explainability of Mammogram Classifiers with Local Annotations
- Lior Ness
- Ella Barkan
- et al.
- 2020
- MICCAI 2020
Bridging the Gap Between AI Planning and Reinforcement Learning (PRL @ IJCAI 2023)
- Cameron Allen
- Timo Gros
- et al.
- 2023
- IJCAI 2023
NSA: Neuro-Symbolic Agents Workshop
- Daiki Kimura
- Alessandra Russo
- et al.
- 2023
- IJCAI 2023
Applied Data Science for Healthcare
- Fei Wang
- Prithwish Chakraborty
- et al.
- 2021
- KDD 2021
ExSS-ATEC: Explainable smart systems for algorithmic transparency in emerging technologies 2020
- Alison Marie Smith-Renner
- Tsvi Kuflik
- et al.
- 2020
- IUI 2020