Summary of Snapshot Reinforcement Learning: Leveraging Prior Trajectories For Efficiency, by Yanxiao Zhao et al.
Snapshot Reinforcement Learning: Leveraging Prior Trajectories for Efficiencyby Yanxiao Zhao, Yangge Qian, Tianyi Wang, Jingyang…
Summary of Deep Reinforcement Learning For Solving Management Problems: Towards a Large Management Mode, by Jinyang Jiang et al.
Deep Reinforcement Learning for Solving Management Problems: Towards A Large Management Modeby Jinyang Jiang, Xiaotian…
Summary of Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : a Survey, by Lucas Schott et al.
Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Surveyby Lucas Schott, Josephine…
Summary of Overestimation, Overfitting, and Plasticity in Actor-critic: the Bitter Lesson Of Reinforcement Learning, by Michal Nauman et al.
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learningby Michal Nauman, Michał…
Summary of Efficient Reinforcement Learning For Global Decision Making in the Presence Of Local Agents at Scale, by Emile Anand et al.
Efficient Reinforcement Learning for Global Decision Making in the Presence of Local Agents at Scaleby…
Summary of Cloud-based Federated Learning Framework For Mri Segmentation, by Rukesh Prajapati and Amr S. El-wakeel
Cloud-based Federated Learning Framework for MRI Segmentationby Rukesh Prajapati, Amr S. El-WakeelFirst submitted to arxiv…
Summary of Conflict-averse Gradient Aggregation For Constrained Multi-objective Reinforcement Learning, by Dohyeong Kim et al.
Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learningby Dohyeong Kim, Mineui Hong, Jeongho Park, Songhwai…
Summary of Rl-gpt: Integrating Reinforcement Learning and Code-as-policy, by Shaoteng Liu et al.
RL-GPT: Integrating Reinforcement Learning and Code-as-policyby Shaoteng Liu, Haoqi Yuan, Minda Hu, Yanwei Li, Yukang…
Summary of Archer: Training Language Model Agents Via Hierarchical Multi-turn Rl, by Yifei Zhou et al.
ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RLby Yifei Zhou, Andrea Zanette, Jiayi Pan,…
Summary of Curiosity-driven Red-teaming For Large Language Models, by Zhang-wei Hong et al.
Curiosity-driven Red-teaming for Large Language Modelsby Zhang-Wei Hong, Idan Shenfeld, Tsun-Hsuan Wang, Yung-Sung Chuang, Aldo…