South America
Hierarchical Programmatic Option Framework Y u-An Lin Chen-T ao Lee Chih-Han Y ang Guan-Ting Liu
However, approximating policies using deep neural networks makes it difficult to interpret the learned decision-making process.
Improved Algorithms for Contextual Dynamic Pricing
In contextual dynamic pricing, a seller sequentially prices goods based on contextual information.
Identifying Latent State-Transition Processes for Individualized Reinforcement Learning Y uewen Sun
The application of reinforcement learning (RL) involving interactions with individuals has grown significantly in recent years.
SimPO: Simple Preference Optimization with a Reference-Free Reward Y u Meng
Additionally, we introduce a target reward margin to the Bradley-Terry objective to encourage a larger margin between the winning and losing responses, further improving the algorithm's performance.
Min Li Wanxiang Che School of Computer Science and Engineering, Central South University Research Center for Social Computing and Information Retrieval Harbin Institute of Technology
" To this end, we investigate extensive experiments on