Exploration-exploitation Tradeoff

The Exploration-Exploitation Tradeoff is a fundamental decision-making dilemma in reinforcement learning and Markov Decision Processes, where an agent must balance between exploiting known actions to maximize immediate rewards and exploring uncertain actions to acquire potentially superior long-term outcomes.

Publications

397.9K

Citations

11K

Authors

2.3K

Institutions

Publications per year

2017–2026

Variants

Exploration-exploitation DilemmaExploration-exploitation Tradeoffs

Parents

Markov Decision Processes

Children

Active ExplorationAdversarial BanditsBayesian BanditsBest Arm IdentificationBootstrapped ExplorationCount-based ExplorationDirected ExplorationEntropy-based ExplorationEpsilon-greedy StrategyExploration Bonuses

Publications

Reinforcement Learning: An Introduction

Richard S. Sutton, Andy Barto · IEEE Transactions on Neural Networks · 1998 · 27.1K citations

Computing, Behavioral Sciences, Computer Science +12

Reinforcement Learning: An Introduction

IEEE Transactions on Neural Networks · 2005 · 25.8K citations

Computing, Behavioral Sciences, Computer Science +12

Exploration and Exploitation in Organizational Learning

James G. March · Organization Science · 1991 · 21.4K citations

Management, Knowledge Management, Organization Studies +15

Mastering the game of Go with deep neural networks and tree search

David Silver, Aja Huang, Chris J. Maddison et al. · Nature · 2016 · 15.8K citations

Computing, Computer Science, Algorithms +10

Reinforcement Learning: A Survey

Leslie Pack Kaelbling, Michael L. Littman, Andrew Moore · Journal of Artificial Intelligence Research · 1996 · 8.8K citations · Full text

Business, Computer Science, Artificial Intelligence +15

1–5 of 5K

Authors

11K

PA
Pieter Abbeel
University of California, Berkeley, United States
46 publications · 7.2K citations
31
h-index
SL
Sergey Levine
University of California, Berkeley, United States
39 publications · 3.5K citations
30
h-index
RM
Rémi Munos
Google (United States), United States
25 publications · 3.1K citations
20
h-index
ES
Eric Schulz
University College London, United Kingdom
23 publications · 3.1K citations
17
h-index
AA
Alekh Agarwal
Microsoft (United States), United States
23 publications · 1.2K citations
17
h-index

1–5 of 11K

Institutions

2.3K

1–8 of 2.3K

Venues

arXiv (Cornell University)
Repository · 688 publications · 39.1K citations
89
h-index
Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 112 publications · 5.5K citations
41
h-index
Expert Systems with Applications
55 publications · 3.3K citations
32
h-index
IEEE Access
51 publications · 2.4K citations
28
h-index
IEEE Transactions on Neural Networks and Learning Systems
35 publications · 2.3K citations
26
h-index

1–5