Summary of Active Preference Learning For Large Language Models, by William Muldrew et al.
Active Preference Learning for Large Language Modelsby William Muldrew, Peter Hayes, Mingtian Zhang, David BarberFirst…
Summary of Maidcrl: Semi-centralized Multi-agent Influence Dense-cnn Reinforcement Learning, by Ayesha Siddika Nipu et al.
MAIDCRL: Semi-centralized Multi-Agent Influence Dense-CNN Reinforcement Learningby Ayesha Siddika Nipu, Siming Liu, Anthony HarrisFirst submitted…
Summary of Implicit Bias Of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States, by Noam Razin et al.
Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial Statesby Noam…
Summary of Spo: Sequential Monte Carlo Policy Optimisation, by Matthew V Macfarlane et al.
SPO: Sequential Monte Carlo Policy Optimisationby Matthew V Macfarlane, Edan Toledo, Donal Byrne, Paul Duckworth,…
Summary of Leveraging Digital Cousins For Ensemble Q-learning in Large-scale Wireless Networks, by Talha Bozkus et al.
Leveraging Digital Cousins for Ensemble Q-Learning in Large-Scale Wireless Networksby Talha Bozkus, Urbashi MitraFirst submitted…
Summary of Near-minimax-optimal Distributional Reinforcement Learning with a Generative Model, by Mark Rowland et al.
Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Modelby Mark Rowland, Li Kevin Wenliang, Rémi Munos,…
Summary of Auxiliary Reward Generation with Transition Distance Representation Learning, by Siyuan Li and Shijie Han and Yingnan Zhao and By Liang and Peng Liu
Auxiliary Reward Generation with Transition Distance Representation Learningby Siyuan Li, Shijie Han, Yingnan Zhao, By…
Summary of Score-based Diffusion Models Via Stochastic Differential Equations — a Technical Tutorial, by Wenpin Tang and Hanyang Zhao
Score-based Diffusion Models via Stochastic Differential Equations – a Technical Tutorialby Wenpin Tang, Hanyang ZhaoFirst…
Summary of Online Iterative Reinforcement Learning From Human Feedback with General Preference Model, by Chenlu Ye et al.
Online Iterative Reinforcement Learning from Human Feedback with General Preference Modelby Chenlu Ye, Wei Xiong,…
Summary of Odin: Disentangled Reward Mitigates Hacking in Rlhf, by Lichang Chen et al.
ODIN: Disentangled Reward Mitigates Hacking in RLHFby Lichang Chen, Chen Zhu, Davit Soselia, Jiuhai Chen,…