Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1802.05054
Cited By
v1
v2
v3
v4
v5 (latest)
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms
14 February 2018
Cédric Colas
Olivier Sigaud
Pierre-Yves Oudeyer
Re-assign community
ArXiv (abs)
PDF
HTML
Github (35★)
Papers citing
"GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms"
31 / 81 papers shown
Evaluating task-agnostic exploration for fixed-batch learning of arbitrary future tasks
Vibhavari Dasagi
Robert Lee
Jake Bruce
Jurgen Leitner
OffRL
86
2
0
20 Nov 2019
Multi-Path Policy Optimization
Adaptive Agents and Multi-Agent Systems (AAMAS), 2019
L. Pan
Qingpeng Cai
Longbo Huang
222
2
0
11 Nov 2019
PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning
Conference on Robot Learning (CoRL), 2019
Iou-Jen Liu
Raymond A. Yeh
Alex Schwing
245
90
0
31 Oct 2019
Unsupervised Learning and Exploration of Reachable Outcome Space
IEEE International Conference on Robotics and Automation (ICRA), 2019
Giuseppe Paolo
Alban Laflaquière
Alexandre Coninx
Stéphane Doncieux
218
44
0
12 Sep 2019
Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems
International Conference on Learning Representations (ICLR), 2019
Chris Reinke
Mayalen Etcheverry
Pierre-Yves Oudeyer
244
30
0
19 Aug 2019
MULEX: Disentangling Exploitation from Exploration in Deep RL
Lucas Beyer
Damien Vincent
O. Teboul
Sylvain Gelly
Matthieu Geist
Olivier Pietquin
132
14
0
01 Jul 2019
FiDi-RL: Incorporating Deep Reinforcement Learning with Finite-Difference Policy Search for Efficient Learning of Continuous Control
Longxiang Shi
Shijian Li
LongBing Cao
Long Yang
Gang Zheng
Gang Pan
223
5
0
01 Jul 2019
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
Information Fusion (Inf. Fusion), 2019
Timothée Lesort
Vincenzo Lomonaco
Andrei Stoian
Davide Maltoni
David Filliat
Natalia Díaz Rodríguez
CLL
350
286
0
29 Jun 2019
Reward Prediction Error as an Exploration Objective in Deep RL
Riley Simmons-Edler
Ben Eisner
Daniel Yang
Anthony Bisulco
E. Mitchell
Sebastian Seung
Daniel D. Lee
219
5
0
19 Jun 2019
Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study
Cam Linke
Nadia M. Ady
Martha White
T. Degris
Adam White
325
16
0
19 Jun 2019
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination
International Conference on Machine Learning (ICML), 2019
Shauharda Khadka
Somdeb Majumdar
Santiago Miret
Stephen McAleer
Kagan Tumer
259
66
0
18 Jun 2019
Exploration via Hindsight Goal Generation
Neural Information Processing Systems (NeurIPS), 2019
Zhizhou Ren
Kefan Dong
Yuanshuo Zhou
Qiang Liu
Jian-wei Peng
320
99
0
10 Jun 2019
Autonomous Goal Exploration using Learned Goal Spaces for Visuomotor Skill Acquisition in Robots
A. Laversanne-Finot
Alexandre Péré
Pierre-Yves Oudeyer
162
2
0
10 Jun 2019
Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Matthieu Zimmer
Paul Weng
108
8
0
10 Jun 2019
Learning Novel Policies For Tasks
International Conference on Machine Learning (ICML), 2019
Yunbo Zhang
Wenhao Yu
Greg Turk
104
35
0
13 May 2019
Collaborative Evolutionary Reinforcement Learning
International Conference on Machine Learning (ICML), 2019
Shauharda Khadka
Somdeb Majumdar
Tarek Nassar
Zach Dwiel
E. Tumer
Santiago Miret
Yinyin Liu
Kagan Tumer
192
118
0
02 May 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Vitchyr H. Pong
Murtaza Dalal
Steven Lin
Ashvin Nair
Shikhar Bahl
Sergey Levine
OffRL
SSL
495
297
0
08 Mar 2019
Distributionally Robust Reinforcement Learning
E. Smirnova
Elvis Dohmatob
Jérémie Mary
OffRL
234
66
0
23 Feb 2019
Go-Explore: a New Approach for Hard-Exploration Problems
Adrien Ecoffet
Joost Huizinga
Joel Lehman
Kenneth O. Stanley
Jeff Clune
AI4TS
595
412
0
30 Jan 2019
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto
David Meger
Doina Precup
OffRL
BDL
759
1,852
0
07 Dec 2018
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
Cédric Colas
Pierre Fournier
Olivier Sigaud
Mohamed Chetouani
Pierre-Yves Oudeyer
249
40
0
15 Oct 2018
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks
Fabio Pardo
Vitaly Levdik
Petar Kormushev
140
4
0
06 Oct 2018
CEM-RL: Combining evolutionary and gradient-based methods for policy search
Aloïs Pourchot
Olivier Sigaud
568
181
0
02 Oct 2018
Switching Isotropic and Directional Exploration with Parameter Space Noise in Deep Reinforcement Learning
Izumi Karino
Kazutoshi Tanaka
Ryuma Niiyama
Yasuo Kuniyoshi
100
3
0
18 Sep 2018
Importance mixing: Improving sample reuse in evolutionary policy search methods
Aloïs Pourchot
Nicolas Perrin
Olivier Sigaud
155
14
0
17 Aug 2018
Curiosity Driven Exploration of Learned Disentangled Goal Spaces
Conference on Robot Learning (CoRL), 2018
A. Laversanne-Finot
Alexandre Péré
Pierre-Yves Oudeyer
DRL
209
89
0
04 Jul 2018
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards
Rituraj Kaushik
Konstantinos Chatzilygeroudis
Jean-Baptiste Mouret
126
21
0
25 Jun 2018
Evolution-Guided Policy Gradient in Reinforcement Learning
Shauharda Khadka
Kagan Tumer
291
271
0
21 May 2018
Policy Search in Continuous Action Domains: an Overview
Neural Networks (NN), 2018
Olivier Sigaud
F. Stulp
296
76
0
13 Mar 2018
Computational Theories of Curiosity-Driven Learning
Pierre-Yves Oudeyer
190
71
0
28 Feb 2018
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning
Journal of machine learning research (JMLR), 2017
Sébastien Forestier
Rémy Portelas
Yoan Mollard
Pierre-Yves Oudeyer
386
198
0
07 Aug 2017
Previous
1
2
