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1902.08039
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Curiosity-Driven Experience Prioritization via Density Estimation
20 February 2019
Rui Zhao
Volker Tresp
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Papers citing
"Curiosity-Driven Experience Prioritization via Density Estimation"
38 / 38 papers shown
Mixture of Autoencoder Experts Guidance using Unlabeled and Incomplete Data for Exploration in Reinforcement Learning
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Pieter Simoens
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188
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Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning
International Conference on Learning Representations (ICLR), 2025
Caleb Chuck
Fan Feng
Carl Qi
Chang Shi
Siddhant Agarwal
Amy Zhang
S. Niekum
442
3
0
06 May 2025
Look Before Leap: Look-Ahead Planning with Uncertainty in Reinforcement Learning
Yongshuai Liu
Xin Liu
413
3
0
26 Mar 2025
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning
Yongshuai Liu
Xin Liu
GAN
444
3
0
24 Mar 2025
Improving Environment Novelty Quantification for Effective Unsupervised Environment Design
Neural Information Processing Systems (NeurIPS), 2025
Jayden Teoh
Wenjun Li
Pradeep Varakantham
309
4
0
08 Feb 2025
Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge
Yupei Yang
Erdun Gao
Shikui Tu
Lei Xu
CML
304
2
0
30 Jul 2024
VDSC: Enhancing Exploration Timing with Value Discrepancy and State Counts
Marius Captari
Remo Sasso
M. Sabatelli
199
0
0
26 Mar 2024
Efficient Sparse-Reward Goal-Conditioned Reinforcement Learning with a High Replay Ratio and Regularization
Takuya Hiraoka
OffRL
309
2
0
10 Dec 2023
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
International Conference on Machine Learning (ICML), 2022
Daniel Jarrett
Corentin Tallec
Florent Altché
Thomas Mesnard
Rémi Munos
Michal Valko
297
6
0
18 Nov 2022
Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States
IEEE Conference on Decision and Control (CDC), 2022
C. Banerjee
Zhiyong Chen
N. Noman
203
8
0
01 Oct 2022
Quantification before Selection: Active Dynamics Preference for Robust Reinforcement Learning
Kang Xu
Yan Ma
Wei Li
413
0
0
23 Sep 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey
A. Aubret
L. Matignon
S. Hassas
302
56
0
19 Sep 2022
GAN-based Intrinsic Exploration For Sample Efficient Reinforcement Learning
International Conference on Agents and Artificial Intelligence (ICAART), 2022
Dogay Kamar
N. K. Üre
Gözde B. Ünal
170
1
0
28 Jun 2022
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Chenyu Sun
Hangwei Qian
Chunyan Miao
OffRL
329
12
0
02 May 2022
Exploration in Deep Reinforcement Learning: A Survey
Information Fusion (Inf. Fusion), 2022
Pawel Ladosz
Lilian Weng
Minwoo Kim
H. Oh
OffRL
406
541
0
02 May 2022
From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven Learning in Artificial Intelligence Tasks
Chenyu Sun
Hangwei Qian
Chunyan Miao
298
15
0
20 Jan 2022
Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction
A. Ahmad
Shuo Cheng
D. Saraswat
Aly El Gamal
Wenjie Wang
Gurmukh Johal
OffRL
OnRL
215
1
0
22 Oct 2021
Exploring More When It Needs in Deep Reinforcement Learning
Youtian Guo
Qitong Gao
115
0
0
28 Sep 2021
Knowledge is reward: Learning optimal exploration by predictive reward cashing
Luca Ambrogioni
139
1
0
17 Sep 2021
Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning
Maximilian Schenke
Oliver Wallscheid
OffRL
299
7
0
19 May 2021
Fixed
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β
β
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A. Lehuger
Matthew Crosby
DRL
151
2
0
18 May 2021
Perfect density models cannot guarantee anomaly detection
Charline Le Lan
Laurent Dinh
506
56
0
07 Dec 2020
ACDER: Augmented Curiosity-Driven Experience Replay
IEEE International Conference on Robotics and Automation (ICRA), 2020
Boyao Li
Tao Lu
Jiayi Li
N. Lu
Yinghao Cai
Shuo Wang
241
22
0
16 Nov 2020
Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Zhenshan Bing
Matthias Brucker
F. O. Morin
Kai-Qi Huang
Alois C. Knoll
259
36
0
27 Jul 2020
NROWAN-DQN: A Stable Noisy Network with Noise Reduction and Online Weight Adjustment for Exploration
Shuai Han
Wenbo Zhou
Jing Liu
Shuai Lu
156
37
0
19 Jun 2020
Automatic Curriculum Learning For Deep RL: A Short Survey
International Joint Conference on Artificial Intelligence (IJCAI), 2020
Rémy Portelas
Cédric Colas
Lilian Weng
Katja Hofmann
Pierre-Yves Oudeyer
ODL
397
213
0
10 Mar 2020
Adaptive Experience Selection for Policy Gradient
S. Mohamad
Giovanni Montana
188
0
0
17 Feb 2020
Soft Hindsight Experience Replay
Qiwei He
Liansheng Zhuang
Houqiang Li
205
14
0
06 Feb 2020
Mutual Information-based State-Control for Intrinsically Motivated Reinforcement Learning
Rui Zhao
Yang Gao
Pieter Abbeel
Volker Tresp
Wenyuan Xu
SSL
213
4
0
05 Feb 2020
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards
Neural Information Processing Systems (NeurIPS), 2019
Alexander R. Trott
Stephan Zheng
Caiming Xiong
R. Socher
374
136
0
04 Nov 2019
Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling
Che Wang
Yanqiu Wu
Q. Vuong
George Andriopoulos
278
6
0
05 Oct 2019
A survey on intrinsic motivation in reinforcement learning
A. Aubret
L. Matignon
S. Hassas
AI4CE
552
162
0
19 Aug 2019
Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the Past
Che Wang
George Andriopoulos
163
52
0
10 Jun 2019
Curiosity-Driven Multi-Criteria Hindsight Experience Replay
John Lanier
Alexander Shmakov
Pierre Baldi
OffRL
244
26
0
09 Jun 2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning
International Conference on Machine Learning (ICML), 2019
Rui Zhao
Xudong Sun
Volker Tresp
393
95
0
21 May 2019
Hindsight Generative Adversarial Imitation Learning
N. Liu
Tao Lu
Yinghao Cai
Boyao Li
Shuo Wang
225
6
0
19 Mar 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Vitchyr H. Pong
Murtaza Dalal
Steven Lin
Ashvin Nair
Shikhar Bahl
Sergey Levine
OffRL
SSL
604
302
0
08 Mar 2019
PNS: Population-Guided Novelty Search for Reinforcement Learning in Hard Exploration Environments
Qihao Liu
Yujia Wang
Xiao-Fei Liu
307
9
0
26 Nov 2018
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