Summary of Highly Efficient Self-adaptive Reward Shaping For Reinforcement Learning, by Haozhe Ma et al.
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learningby Haozhe Ma, Zhengding Luo, Thanh Vinh Vo,…
Summary of Research on Autonomous Driving Decision-making Strategies Based Deep Reinforcement Learning, by Zixiang Wang et al.
Research on Autonomous Driving Decision-making Strategies based Deep Reinforcement Learningby Zixiang Wang, Hao Yan, Changsong…
Summary of Certifiably Robust Policies For Uncertain Parametric Environments, by Yannik Schnitzer et al.
Certifiably Robust Policies for Uncertain Parametric Environmentsby Yannik Schnitzer, Alessandro Abate, David ParkerFirst submitted to…
Summary of Why Rectified Power Unit Networks Fail and How to Improve It: An Effective Theory Perspective, by Taeyoung Kim et al.
Why Rectified Power Unit Networks Fail and How to Improve It: An Effective Theory Perspectiveby…
Summary of Applications Of Scientific Machine Learning For the Analysis Of Functionally Graded Porous Beams, by Mohammad Sadegh Eshaghi et al.
Applications of Scientific Machine Learning for the Analysis of Functionally Graded Porous Beamsby Mohammad Sadegh…
Summary of Spatial-temporal Graph Convolutional Networks with Diversified Transformation For Dynamic Graph Representation Learning, by Ling Wang et al.
Spatial-temporal Graph Convolutional Networks with Diversified Transformation for Dynamic Graph Representation Learningby Ling Wang, Yixiang…
Summary of Psne: Efficient Spectral Sparsification Algorithms For Scaling Network Embedding, by Longlong Lin et al.
PSNE: Efficient Spectral Sparsification Algorithms for Scaling Network Embeddingby Longlong Lin, Yunfeng Yu, Zihao Wang,…
Summary of Bayesian Kolmogorov Arnold Networks (bayesian_kans): a Probabilistic Approach to Enhance Accuracy and Interpretability, by Masoud Muhammed Hassan
Bayesian Kolmogorov Arnold Networks (Bayesian_KANs): A Probabilistic Approach to Enhance Accuracy and Interpretabilityby Masoud Muhammed…
Summary of Snape — Training Snapshot Ensembles Of Link Prediction Models, by Ali Shaban and Heiko Paulheim
SnapE – Training Snapshot Ensembles of Link Prediction Modelsby Ali Shaban, Heiko PaulheimFirst submitted to…
Summary of Rcdm: Enabling Robustness For Conditional Diffusion Model, by Weifeng Xu et al.
RCDM: Enabling Robustness for Conditional Diffusion Modelby Weifeng Xu, Xiang Zhu, Xiaoyong LiFirst submitted to…