ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.10980
  4. Cited By
NROWAN-DQN: A Stable Noisy Network with Noise Reduction and Online
  Weight Adjustment for Exploration

NROWAN-DQN: A Stable Noisy Network with Noise Reduction and Online Weight Adjustment for Exploration

19 June 2020
Shuai Han
Wenbo Zhou
Jing Liu
Shuai Lu
ArXivPDFHTML

Papers citing "NROWAN-DQN: A Stable Noisy Network with Noise Reduction and Online Weight Adjustment for Exploration"

10 / 10 papers shown
Title
Curiosity-Driven Experience Prioritization via Density Estimation
Curiosity-Driven Experience Prioritization via Density Estimation
Rui Zhao
Volker Tresp
97
54
0
20 Feb 2019
Deal or No Deal? End-to-End Learning for Negotiation Dialogues
Deal or No Deal? End-to-End Learning for Negotiation Dialogues
M. Lewis
Denis Yarats
Yann N. Dauphin
Devi Parikh
Dhruv Batra
LLMAG
74
414
0
16 Jun 2017
Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRM
SSL
106
2,436
0
15 May 2017
Unifying Count-Based Exploration and Intrinsic Motivation
Unifying Count-Based Exploration and Intrinsic Motivation
Marc G. Bellemare
S. Srinivasan
Georg Ostrovski
Tom Schaul
D. Saxton
Rémi Munos
167
1,477
0
06 Jun 2016
OpenAI Gym
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRL
ODL
211
5,075
0
05 Jun 2016
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
191
8,850
0
04 Feb 2016
Dueling Network Architectures for Deep Reinforcement Learning
Dueling Network Architectures for Deep Reinforcement Learning
Ziyun Wang
Tom Schaul
Matteo Hessel
H. V. Hasselt
Marc Lanctot
Nando de Freitas
OffRL
91
3,755
0
20 Nov 2015
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
212
3,787
0
18 Nov 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
318
13,234
0
09 Sep 2015
Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic
  Environments
Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments
Yi Sun
Faustino J. Gomez
Jürgen Schmidhuber
102
163
0
29 Mar 2011
1