Summary of Offline Safe Reinforcement Learning Using Trajectory Classification, by Ze Gong et al.
Offline Safe Reinforcement Learning Using Trajectory Classificationby Ze Gong, Akshat Kumar, Pradeep VarakanthamFirst submitted to…
Summary of Inference-aware Fine-tuning For Best-of-n Sampling in Large Language Models, by Yinlam Chow et al.
Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Modelsby Yinlam Chow, Guy Tennenholtz, Izzeddin Gur,…
Summary of Deep Reinforcement Learning with Time-scale Invariant Memory, by Md Rysul Kabir et al.
Deep reinforcement learning with time-scale invariant memoryby Md Rysul Kabir, James Mochizuki-Freeman, Zoran TiganjFirst submitted…
Summary of Hierarchical Subspaces Of Policies For Continual Offline Reinforcement Learning, by Anthony Kobanda et al.
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learningby Anthony Kobanda, Rémy Portelas, Odalric-Ambrym Maillard,…
Summary of Entropy Regularized Task Representation Learning For Offline Meta-reinforcement Learning, by Mohammadreza Nakhaei et al.
Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learningby Mohammadreza Nakhaei, Aidan Scannell, Joni PajarinenFirst…
Summary of Single-loop Federated Actor-critic Across Heterogeneous Environments, by Ye Zhu and Xiaowen Gong
Single-Loop Federated Actor-Critic across Heterogeneous Environmentsby Ye Zhu, Xiaowen GongFirst submitted to arxiv on: 19…
Summary of Heterogeneous Multi-agent Reinforcement Learning For Distributed Channel Access in Wlans, by Jiaming Yu et al.
Heterogeneous Multi-Agent Reinforcement Learning for Distributed Channel Access in WLANsby Jiaming Yu, Le Liang, Chongtao…
Summary of Stealing That Free Lunch: Exposing the Limits Of Dyna-style Reinforcement Learning, by Brett Barkley and David Fridovich-keil
Stealing That Free Lunch: Exposing the Limits of Dyna-Style Reinforcement Learningby Brett Barkley, David Fridovich-KeilFirst…
Summary of Alignment Faking in Large Language Models, by Ryan Greenblatt et al.
Alignment faking in large language modelsby Ryan Greenblatt, Carson Denison, Benjamin Wright, Fabien Roger, Monte…
Summary of Harvesting Energy From Turbulent Winds with Reinforcement Learning, by Lorenzo Basile et al.
Harvesting energy from turbulent winds with Reinforcement Learningby Lorenzo Basile, Maria Grazia Berni, Antonio CelaniFirst…