Summary of Deer: a Delay-resilient Framework For Reinforcement Learning with Variable Delays, by Bo Xia et al.
DEER: A Delay-Resilient Framework for Reinforcement Learning with Variable Delaysby Bo Xia, Yilun Kong, Yongzhe…
Summary of by Fair Means or Foul: Quantifying Collusion in a Market Simulation with Deep Reinforcement Learning, By Michael Schlechtinger et al.
By Fair Means or Foul: Quantifying Collusion in a Market Simulation with Deep Reinforcement Learningby…
Summary of Iqrl — Implicitly Quantized Representations For Sample-efficient Reinforcement Learning, by Aidan Scannell et al.
iQRL – Implicitly Quantized Representations for Sample-efficient Reinforcement Learningby Aidan Scannell, Kalle Kujanpää, Yi Zhao,…
Summary of Aligning Large Language Models Via Fine-grained Supervision, by Dehong Xu et al.
Aligning Large Language Models via Fine-grained Supervisionby Dehong Xu, Liang Qiu, Minseok Kim, Faisal Ladhak,…
Summary of Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks, by Hojoon Lee et al.
Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networksby Hojoon Lee,…
Summary of Towards Learning Foundation Models For Heuristic Functions to Solve Pathfinding Problems, by Vedant Khandelwal et al.
Towards Learning Foundation Models for Heuristic Functions to Solve Pathfinding Problemsby Vedant Khandelwal, Amit Sheth,…
Summary of Adaptive Layer Splitting For Wireless Llm Inference in Edge Computing: a Model-based Reinforcement Learning Approach, by Yuxuan Chen et al.
Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approachby…
Summary of A Generalized Apprenticeship Learning Framework For Modeling Heterogeneous Student Pedagogical Strategies, by Md Mirajul Islam et al.
A Generalized Apprenticeship Learning Framework for Modeling Heterogeneous Student Pedagogical Strategiesby Md Mirajul Islam, Xi…
Summary of Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-state Mdps, by Filippo Valdettaro and A. Aldo Faisal
Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPsby Filippo…
Summary of Test-time Regret Minimization in Meta Reinforcement Learning, by Mirco Mutti et al.
Test-Time Regret Minimization in Meta Reinforcement Learningby Mirco Mutti, Aviv TamarFirst submitted to arxiv on:…