Summary of An Imitative Reinforcement Learning Framework For Autonomous Dogfight, by Siyuan Li et al.
An Imitative Reinforcement Learning Framework for Autonomous Dogfightby Siyuan Li, Rongchang Zuo, Bofei Liu, Peng…
Summary of Linear Bellman Completeness Suffices For Efficient Online Reinforcement Learning with Few Actions, by Noah Golowich and Ankur Moitra
Linear Bellman Completeness Suffices for Efficient Online Reinforcement Learning with Few Actionsby Noah Golowich, Ankur…
Summary of The Benefits Of Power Regularization in Cooperative Reinforcement Learning, by Michelle Li and Michael Dennis
The Benefits of Power Regularization in Cooperative Reinforcement Learningby Michelle Li, Michael DennisFirst submitted to…
Summary of Dipper: Direct Preference Optimization to Accelerate Primitive-enabled Hierarchical Reinforcement Learning, by Utsav Singh et al.
DIPPER: Direct Preference Optimization to Accelerate Primitive-Enabled Hierarchical Reinforcement Learningby Utsav Singh, Souradip Chakraborty, Wesley…
Summary of Unizero: Generalized and Efficient Planning with Scalable Latent World Models, by Yuan Pu and Yazhe Niu and Zhenjie Yang and Jiyuan Ren and Hongsheng Li and Yu Liu
UniZero: Generalized and Efficient Planning with Scalable Latent World Modelsby Yuan Pu, Yazhe Niu, Zhenjie…
Summary of A Gpu-accelerated Large-scale Simulator For Transportation System Optimization Benchmarking, by Jun Zhang et al.
A GPU-accelerated Large-scale Simulator for Transportation System Optimization Benchmarkingby Jun Zhang, Wenxuan Ao, Junbo Yan,…
Summary of Improving Reward-conditioned Policies For Multi-armed Bandits Using Normalized Weight Functions, by Kai Xu et al.
Improving Reward-Conditioned Policies for Multi-Armed Bandits using Normalized Weight Functionsby Kai Xu, Farid Tajaddodianfar, Ben…
Summary of Large Reasoning Models For 3d Floorplanning in Eda: Learning From Imperfections, by Fin Amin et al.
Large Reasoning Models for 3D Floorplanning in EDA: Learning from Imperfectionsby Fin Amin, Nirjhor Rouf,…
Summary of Grad-instructor: Universal Backpropagation with Explainable Evaluation Neural Networks For Meta-learning and Automl, by Ryohei Ino
Grad-Instructor: Universal Backpropagation with Explainable Evaluation Neural Networks for Meta-learning and AutoMLby Ryohei InoFirst submitted…
Summary of Binary Reward Labeling: Bridging Offline Preference and Reward-based Reinforcement Learning, by Yinglun Xu et al.
Binary Reward Labeling: Bridging Offline Preference and Reward-Based Reinforcement Learningby Yinglun Xu, David Zhu, Rohan…