Summary of Solving Continual Offline Reinforcement Learning with Decision Transformer, by Kaixin Huang et al.
Solving Continual Offline Reinforcement Learning with Decision Transformerby Kaixin Huang, Li Shen, Chen Zhao, Chun…
Summary of Reinforcement Learning From Llm Feedback to Counteract Goal Misgeneralization, by Houda Nait El Barj et al.
Reinforcement Learning from LLM Feedback to Counteract Goal Misgeneralizationby Houda Nait El Barj, Theophile SautoryFirst…
Summary of Stabilizing Sharpness-aware Minimization Through a Simple Renormalization Strategy, by Chengli Tan et al.
Stabilizing Sharpness-aware Minimization Through A Simple Renormalization Strategyby Chengli Tan, Jiangshe Zhang, Junmin Liu, Yicheng…
Summary of Domain Adaptation For Sustainable Soil Management Using Causal and Contrastive Constraint Minimization, by Somya Sharma et al.
Domain Adaptation for Sustainable Soil Management using Causal and Contrastive Constraint Minimizationby Somya Sharma, Swati…
Summary of Make Prompts Adaptable: Bayesian Modeling For Vision-language Prompt Learning with Data-dependent Prior, by Youngjae Cho et al.
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Priorby Youngjae Cho, HeeSun…
Summary of Hierarchical Knowledge Distillation on Text Graph For Data-limited Attribute Inference, by Quan Li et al.
Hierarchical Knowledge Distillation on Text Graph for Data-limited Attribute Inferenceby Quan Li, Shixiong Jing, Lingwei…
Summary of An Experimental Design Framework For Label-efficient Supervised Finetuning Of Large Language Models, by Gantavya Bhatt et al.
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Modelsby Gantavya Bhatt, Yifang…
Summary of Domain Adaptation For Time Series Transformers Using One-step Fine-tuning, by Subina Khanal et al.
Domain Adaptation for Time series Transformers using One-step fine-tuningby Subina Khanal, Seshu Tirupathi, Giulio Zizzo,…
Summary of An Experimental Evaluation Of Deep Reinforcement Learning Algorithms For Hvac Control, by Antonio Manjavacas et al.
An experimental evaluation of Deep Reinforcement Learning algorithms for HVAC controlby Antonio Manjavacas, Alejandro Campoy-Nieves,…
Summary of Optimistic Model Rollouts For Pessimistic Offline Policy Optimization, by Yuanzhao Zhai et al.
Optimistic Model Rollouts for Pessimistic Offline Policy Optimizationby Yuanzhao Zhai, Yiying Li, Zijian Gao, Xudong…