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

19 June 2020

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

9 / 9 papers shown

Title
Curiosity-Driven Experience Prioritization via Density Estimation Rui Zhao Volker Tresp 94 54 0 20 Feb 2019
Deal or No Deal? End-to-End Learning for Negotiation Dialogues M. Lewis Denis Yarats Yann N. Dauphin Devi Parikh Dhruv Batra LLMAG 65 413 0 16 Jun 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 106 2,433 0 15 May 2017
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 204 5,073 0 05 Jun 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 189 8,833 0 04 Feb 2016
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 91 3,749 0 20 Nov 2015
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 Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 306 13,214 0 09 Sep 2015
Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments Yi Sun Faustino J. Gomez Jürgen Schmidhuber 99 163 0 29 Mar 2011