Summary of Kolmogorov-arnold Network For Online Reinforcement Learning, by Victor Augusto Kich et al.
Kolmogorov-Arnold Network for Online Reinforcement Learningby Victor Augusto Kich, Jair Augusto Bottega, Raul Steinmetz, Ricardo…
Summary of Hybrid Reinforcement Learning Breaks Sample Size Barriers in Linear Mdps, by Kevin Tan et al.
Hybrid Reinforcement Learning Breaks Sample Size Barriers in Linear MDPsby Kevin Tan, Wei Fan, Yuting…
Summary of Deep Reinforcement Learning For the Design Of Metamaterial Mechanisms with Functional Compliance Control, by Yejun Choi et al.
Deep Reinforcement Learning for the Design of Metamaterial Mechanisms with Functional Compliance Controlby Yejun Choi,…
Summary of Model-based Transfer Learning For Contextual Reinforcement Learning, by Jung-hoon Cho et al.
Model-Based Transfer Learning for Contextual Reinforcement Learningby Jung-Hoon Cho, Vindula Jayawardana, Sirui Li, Cathy WuFirst…
Summary of Listwise Reward Estimation For Offline Preference-based Reinforcement Learning, by Heewoong Choi et al.
Listwise Reward Estimation for Offline Preference-based Reinforcement Learningby Heewoong Choi, Sangwon Jung, Hongjoon Ahn, Taesup…
Summary of Cooperative Multi-agent Deep Reinforcement Learning in Content Ranking Optimization, by Zhou Qin et al.
Cooperative Multi-Agent Deep Reinforcement Learning in Content Ranking Optimizationby Zhou Qin, Kai Yuan, Pratik Lahiri,…
Summary of Learning Rate-free Reinforcement Learning: a Case For Model Selection with Non-stationary Objectives, by Aida Afshar et al.
Learning Rate-Free Reinforcement Learning: A Case for Model Selection with Non-Stationary Objectivesby Aida Afshar, Aldo…
Summary of Ai-driven Approach For Sustainable Extraction Of Earth’s Subsurface Renewable Energy While Minimizing Seismic Activity, by Diego Gutierrez-oribio et al.
AI-Driven approach for sustainable extraction of earth’s subsurface renewable energy while minimizing seismic activityby Diego…
Summary of Rl-adn: a High-performance Deep Reinforcement Learning Environment For Optimal Energy Storage Systems Dispatch in Active Distribution Networks, by Shengren Hou et al.
RL-ADN: A High-Performance Deep Reinforcement Learning Environment for Optimal Energy Storage Systems Dispatch in Active…
Summary of Relief: Reinforcement Learning Empowered Graph Feature Prompt Tuning, by Jiapeng Zhu et al.
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuningby Jiapeng Zhu, Zichen Ding, Jianxiang Yu, Jiaqi…