The Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning

23 June 2020

Papers citing "The Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning"

5 / 5 papers shown

Title
Neuroplastic Expansion in Deep Reinforcement Learning Jiashun Liu J. Obando-Ceron Rameswar Panda L. Pan 42 3 0 10 Oct 2024
ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control Ehsan Futuhi Shayan Karimi Chao Gao Martin Müller 43 1 0 07 Oct 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
Deep Generalized Schrödinger Bridge Guan-Horng Liu T. Chen Oswin So Evangelos A. Theodorou OT AI4CE 16 35 0 20 Sep 2022
Value Activation for Bias Alleviation: Generalized-activated Deep Double Deterministic Policy Gradients Jiafei Lyu Yu Yang Jiangpeng Yan Xiu Li OffRL AI4CE 39 5 0 21 Dec 2021