Understanding Multi-Step Deep Reinforcement Learning: A Systematic Study of the DQN Target

22 January 2019

Papers citing "Understanding Multi-Step Deep Reinforcement Learning: A Systematic Study of the DQN Target"

6 / 6 papers shown

Title
An Improved Strategy for Blood Glucose Control Using Multi-Step Deep Reinforcement Learning Weiwei Gu Senquan Wang 45 5 0 12 Mar 2024
Long N-step Surrogate Stage Reward to Reduce Variances of Deep Reinforcement Learning in Complex Problems Junmin Zhong Ruofan Wu J. Si LRM 30 0 0 10 Oct 2022
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL Taku Yamagata Ahmed Khalil Raúl Santos-Rodríguez OffRL 160 72 0 08 Sep 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels Edoardo Cetin Philip J. Ball Steve Roberts Oya Celiktutan 38 36 0 03 Jul 2022
The Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning Lingheng Meng R. Gorbet Dana Kulić OffRL 30 27 0 23 Jun 2020
Adaptive Trade-Offs in Off-Policy Learning Mark Rowland Will Dabney Rémi Munos OffRL 25 22 0 16 Oct 2019