Summary of The Power Of Resets in Online Reinforcement Learning, by Zakaria Mhammedi et al.
The Power of Resets in Online Reinforcement Learningby Zakaria Mhammedi, Dylan J. Foster, Alexander RakhlinFirst…
Summary of An Mrp Formulation For Supervised Learning: Generalized Temporal Difference Learning Models, by Yangchen Pan et al.
An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Modelsby Yangchen Pan, Junfeng Wen,…
Summary of Dpo: Differential Reinforcement Learning with Application to Optimal Configuration Search, by Chandrajit Bajaj and Minh Nguyen
DPO: Differential reinforcement learning with application to optimal configuration searchby Chandrajit Bajaj, Minh NguyenFirst submitted…
Summary of Reinforcement Learning with Adaptive Regularization For Safe Control Of Critical Systems, by Haozhe Tian et al.
Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systemsby Haozhe Tian, Homayoun Hamedmoghadam,…
Summary of Multistop: Solving Functional Equations with Reinforcement Learning, by Alessandro Trenta et al.
MultiSTOP: Solving Functional Equations with Reinforcement Learningby Alessandro Trenta, Davide Bacciu, Andrea Cossu, Pietro FerreroFirst…
Summary of Cache-aware Reinforcement Learning in Large-scale Recommender Systems, by Xiaoshuang Chen et al.
Cache-Aware Reinforcement Learning in Large-Scale Recommender Systemsby Xiaoshuang Chen, Gengrui Zhang, Yao Wang, Yulin Wu,…
Summary of Generalizing Multi-step Inverse Models For Representation Learning to Finite-memory Pomdps, by Lili Wu et al.
Generalizing Multi-Step Inverse Models for Representation Learning to Finite-Memory POMDPsby Lili Wu, Ben Evans, Riashat…
Summary of Fairness Incentives in Response to Unfair Dynamic Pricing, by Jesse Thibodeau et al.
Fairness Incentives in Response to Unfair Dynamic Pricingby Jesse Thibodeau, Hadi Nekoei, Afaf Taïk, Janarthanan…
Summary of Preference Fine-tuning Of Llms Should Leverage Suboptimal, On-policy Data, by Fahim Tajwar et al.
Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Databy Fahim Tajwar, Anikait Singh, Archit Sharma,…
Summary of Unified Ode Analysis Of Smooth Q-learning Algorithms, by Donghwan Lee
Unified ODE Analysis of Smooth Q-Learning Algorithmsby Donghwan LeeFirst submitted to arxiv on: 20 Apr…