Why Target Networks Stabilise Temporal Difference Methods

24 February 2023

Papers citing "Why Target Networks Stabilise Temporal Difference Methods"

6 / 6 papers shown

Title
Understanding the theoretical properties of projected Bellman equation, linear Q-learning, and approximate value iteration Han-Dong Lim Donghwan Lee 16 0 0 15 Apr 2025
Simplifying Deep Temporal Difference Learning Matteo Gallici Mattie Fellows Benjamin Ellis B. Pou Ivan Masmitja Jakob Foerster Mario Martin OffRL 62 14 0 05 Jul 2024
A Bayesian Solution To The Imitation Gap Risto Vuorio Mattie Fellows Cong Lu Clémence Grislain Shimon Whiteson 30 1 0 29 Jun 2024
Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation Fengdi Che Chenjun Xiao Jincheng Mei Bo Dai Ramki Gummadi Oscar A Ramirez Christopher K Harris A. R. Mahmood Dale Schuurmans 30 5 0 31 May 2024
RadDQN: a Deep Q Learning-based Architecture for Finding Time-efficient Minimum Radiation Exposure Pathway B. Sadhu Trijit Sadhu S. Anand AI4CE 22 0 0 01 Feb 2024
Bayesian Exploration Networks Matt Fellows Brandon Kaplowitz Christian Schroeder de Witt Shimon Whiteson BDL 31 3 0 24 Aug 2023