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Machine Learning
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Exploration
86 directly classified papers
Papers per year
2008: 1
2009: 1
2010: 2
2012: 2
2013: 1
2014: 3
2017: 1
2018: 5
2019: 12
2020: 6
2021: 14
2022: 13
2023: 7
2024: 14
2025: 4
Papers
Count-Based Exploration with Neural Density Models
ICML 2017
Efficient learning by implicit exploration in bandit problems with side observations
NIPS 2014
lil’ UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits
COLT 2014
Near-optimal Reinforcement Learning in Factored MDPs
NIPS 2014
Information Complexity in Bandit Subset Selection
COLT 2013
Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress
NIPS 2012
Hierarchical Optimistic Region Selection driven by Curiosity
NIPS 2012
Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks
NIPS 2010
Near-Optimal Bayesian Active Learning with Noisy Observations
NIPS 2010
The Infinite Partially Observable Markov Decision Process
NIPS 2009
Particle Filter-based Policy Gradient in POMDPs
NIPS 2008
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