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Random Latent Exploration for Deep Reinforcement Learning

Random Latent Exploration for Deep Reinforcement Learning

18 July 2024
Srinath Mahankali
Zhang-Wei Hong
Ayush Sekhari
Alexander Rakhlin
Pulkit Agrawal
ArXivPDFHTML

Papers citing "Random Latent Exploration for Deep Reinforcement Learning"

14 / 64 papers shown
Title
Parameter Space Noise for Exploration
Parameter Space Noise for Exploration
Matthias Plappert
Rein Houthooft
Prafulla Dhariwal
Szymon Sidor
Richard Y. Chen
Xi Chen
Tamim Asfour
Pieter Abbeel
Marcin Andrychowicz
52
595
0
06 Jun 2017
Boltzmann Exploration Done Right
Boltzmann Exploration Done Right
Nicolò Cesa-Bianchi
Claudio Gentile
Gábor Lugosi
Gergely Neu
85
170
0
29 May 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
Deep Exploration via Randomized Value Functions
Deep Exploration via Randomized Value Functions
Ian Osband
Benjamin Van Roy
Daniel Russo
Zheng Wen
89
306
0
22 Mar 2017
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
Justin Fu
John D. Co-Reyes
Sergey Levine
OffRL
52
155
0
03 Mar 2017
Reinforcement Learning with Unsupervised Auxiliary Tasks
Reinforcement Learning with Unsupervised Auxiliary Tasks
Max Jaderberg
Volodymyr Mnih
Wojciech M. Czarnecki
Tom Schaul
Joel Z Leibo
David Silver
Koray Kavukcuoglu
SSL
101
1,228
0
16 Nov 2016
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
Deep Exploration via Bootstrapped DQN
Deep Exploration via Bootstrapped DQN
Ian Osband
Charles Blundell
Alexander Pritzel
Benjamin Van Roy
121
1,307
0
15 Feb 2016
BISTRO: An Efficient Relaxation-Based Method for Contextual Bandits
BISTRO: An Efficient Relaxation-Based Method for Contextual Bandits
Alexander Rakhlin
Karthik Sridharan
OffRL
352
72
0
06 Feb 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
Generalization and Exploration via Randomized Value Functions
Generalization and Exploration via Randomized Value Functions
Ian Osband
Benjamin Van Roy
Zheng Wen
77
314
0
04 Feb 2014
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
117
12,223
0
19 Dec 2013
(More) Efficient Reinforcement Learning via Posterior Sampling
(More) Efficient Reinforcement Learning via Posterior Sampling
Ian Osband
Daniel Russo
Benjamin Van Roy
116
533
0
04 Jun 2013
The Arcade Learning Environment: An Evaluation Platform for General
  Agents
The Arcade Learning Environment: An Evaluation Platform for General Agents
Marc G. Bellemare
Yavar Naddaf
J. Veness
Michael Bowling
109
3,004
0
19 Jul 2012
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