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Embracing curiosity eliminates the exploration-exploitation dilemma
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/anbe.2001.1780openalex-snapshot
An information primacy model of exploratory and foraging behaviour
inferredcites →https://doi.org/10.1007/978-1-4614-1770-5_3openalex-snapshot
Novelty Search and the Problem with Objectives
inferredcites →https://doi.org/10.1007/978-3-540-24855-2_130openalex-snapshot
Evolving a Roving Eye for Go
inferredcites →https://doi.org/10.1007/bf00115298openalex-snapshot
Exploration Bonuses and Dual Control
inferredcites →https://doi.org/10.1007/s10955-016-1521-0openalex-snapshot
Infomax Strategies for an Optimal Balance Between Exploration and Exploitation
inferredcites →https://doi.org/10.1016/b978-0-12-800648-1.00003-6openalex-snapshot
Exploration Technique and Technical Innovations in Corvids and Parrots
inferredcites →https://doi.org/10.1016/j.amc.2018.11.052openalex-snapshot
Novelty search for global optimization
inferredcites →https://doi.org/10.1016/j.cobeha.2020.06.003openalex-snapshot
Latent learning, cognitive maps, and curiosity
inferredcites →https://doi.org/10.1016/j.cobeha.2020.10.001openalex-snapshot
Balancing exploration and exploitation with information and randomization
inferredcites →https://doi.org/10.1016/j.cognition.2017.12.014openalex-snapshot
Deconstructing the human algorithms for exploration
inferredcites →https://doi.org/10.1016/j.cognition.2019.03.009openalex-snapshot
Monkeys are curious about counterfactual outcomes
inferredcites →https://doi.org/10.1016/j.cogpsych.2014.06.003openalex-snapshot
Win-Stay, Lose-Sample: A simple sequential algorithm for approximating Bayesian inference
inferredcites →https://doi.org/10.1016/j.conb.2019.08.004openalex-snapshot
Visual novelty, curiosity, and intrinsic reward in machine learning and the brain
inferredcites →https://doi.org/10.1016/j.copsyc.2020.02.007openalex-snapshot
The dark side of social movements: social identity, non-conformity, and the lure of conspiracy theories
inferredcites →https://doi.org/10.1016/j.jmp.2013.10.001openalex-snapshot
A comparison model of reinforcement-learning and win-stay-lose-shift decision-making processes: A tribute to W.K. Estes
inferredcites →https://doi.org/10.1016/j.mib.2018.02.002openalex-snapshot
Stimulus sensing and signal processing in bacterial chemotaxis
inferredcites →https://doi.org/10.1016/j.neubiorev.2021.02.017openalex-snapshot
Point estimates, Simpson’s paradox, and nonergodicity in biological sciences
inferredcites →https://doi.org/10.1016/j.neunet.2009.12.004openalex-snapshot
Parameter-exploring policy gradients
inferredcites →https://doi.org/10.1016/j.neuron.2015.03.026openalex-snapshot
Neural Mechanisms for Evaluating Environmental Variability in Caenorhabditis elegans
inferredcites →https://doi.org/10.1016/j.neuron.2015.09.010openalex-snapshot
The Psychology and Neuroscience of Curiosity
inferredcites →https://doi.org/10.1016/j.tics.2015.05.004openalex-snapshot
‘Activity-silent’ working memory in prefrontal cortex: a dynamic coding framework
inferredcites →https://doi.org/10.1016/j.tins.2021.09.001openalex-snapshot
50 years of mnemonic persistent activity: quo vadis?
inferredcites →https://doi.org/10.1016/j.visres.2008.09.007openalex-snapshot
Bayesian surprise attracts human attention
inferredcites →https://doi.org/10.1017/cbo9780511489808.024openalex-snapshot
The progress drive hypothesis: an interpretation of early imitation
inferredcites →https://doi.org/10.1017/s0140525x18000936openalex-snapshot
Suboptimality in perceptual decision making
inferredcites →https://doi.org/10.1037//0096-3445.118.1.100openalex-snapshot
Misinformation and memory: The creation of new memories.
inferredcites →https://doi.org/10.1037/0003-066x.52.1.32openalex-snapshot
Reasoning and learning by analogy: Introduction.
inferredcites →https://doi.org/10.1037/0033-2909.116.1.75openalex-snapshot
The psychology of curiosity: A review and reinterpretation.
inferredcites →https://doi.org/10.1037/0033-295x.100.2.163openalex-snapshot
Spatial cognitive maps in animals: New hypotheses on their structure and neural mechanisms.
inferredcites →https://doi.org/10.1037/a0038199openalex-snapshot
Humans use directed and random exploration to solve the explore–exploit dilemma.
inferredcites →https://doi.org/10.1037/h0030222openalex-snapshot
Preference for bar pressing to obtain reward over freeloading in rats and children.
inferredcites →https://doi.org/10.1037/h0058559openalex-snapshot
Toward a statistical theory of learning.
inferredcites →https://doi.org/10.1037/h0076222openalex-snapshot
Discriminability and the contrafreeloading phenomenon.
inferredcites →https://doi.org/10.1038/364056a0openalex-snapshot
A strategy of win-stay, lose-shift that outperforms tit-for-tat in the Prisoner's Dilemma game
inferredcites →https://doi.org/10.1038/nature14422openalex-snapshot
Robots that can adapt like animals
inferredcites →https://doi.org/10.1038/nature16961openalex-snapshot
Mastering the game of Go with deep neural networks and tree search
inferredcites →https://doi.org/10.1038/nn1954openalex-snapshot
Learning the value of information in an uncertain world
inferredcites →https://doi.org/10.1038/s41467-019-13135-zopenalex-snapshot
A neural network for information seeking
inferredcites →https://doi.org/10.1038/s41562-018-0467-4openalex-snapshot
Generalization guides human exploration in vast decision spaces
inferredcites →https://doi.org/10.1038/s41562-018-0526-xopenalex-snapshot
Sources of suboptimality in a minimalistic explore–exploit task
inferredcites →https://doi.org/10.1038/s41583-018-0078-0openalex-snapshot
Towards a neuroscience of active sampling and curiosity
inferredcites →https://doi.org/10.1038/s41586-019-1858-zopenalex-snapshot
Internal state dynamics shape brainwide activity and foraging behaviour
inferredcites →https://doi.org/10.1073/pnas.1820145116openalex-snapshot
Common neural code for reward and information value
inferredcites →https://doi.org/10.1090/s0002-9904-1952-09620-8openalex-snapshot
Some aspects of the sequential design of experiments
inferredcites →https://doi.org/10.1098/rsfs.2018.0041openalex-snapshot
Semantic information, autonomous agency and non-equilibrium statistical physics
inferredcites →https://doi.org/10.1098/rstb.2019.0502openalex-snapshot
Childhood as a solution to explore–exploit tensions
inferredcites →https://doi.org/10.1103/physrevlett.88.097901openalex-snapshot
Optimizing the Encounter Rate in Biological Interactions: Lévy versus Brownian Strategies
inferredcites →https://doi.org/10.1109/cvprw.2017.70openalex-snapshot
Curiosity-Driven Exploration by Self-Supervised Prediction
inferredcites →https://doi.org/10.1109/ijcnn.2018.8489075openalex-snapshot
Curiosity-Driven Reinforcement Learning with Homeostatic Regulation
inferredcites →https://doi.org/10.1109/tamd.2010.2056368openalex-snapshot
Formal Theory of Creativity, Fun, and Intrinsic Motivation (1990–2010)
inferredcites →https://doi.org/10.1111/j.1467-9868.2007.00586.xopenalex-snapshot
An Optimal Experimental Design Criterion for Discriminating Between Non-Normal Models
inferredcites →https://doi.org/10.1111/j.1551-6709.2009.01021.xopenalex-snapshot
Exploration and Exploitation During Sequential Search
inferredcites →https://doi.org/10.1111/j.2044-8295.1954.tb01243.xopenalex-snapshot
A THEORY OF HUMAN CURIOSITY
inferredcites →https://doi.org/10.1111/j.2044-8295.1985.tb01947.xopenalex-snapshot
Towards a model of boredom
inferredcites →https://doi.org/10.1111/tops.12196openalex-snapshot
How Evolution May Work Through Curiosity‐Driven Developmental Process
inferredcites →https://doi.org/10.1126/science.aar6404openalex-snapshot
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
inferredcites →https://doi.org/10.1145/2463372.2463393openalex-snapshot
Effective diversity maintenance in deceptive domains
inferredcites →https://doi.org/10.1145/2576768.2598225openalex-snapshot
Novelty search creates robots with general skills for exploration
inferredcites →https://doi.org/10.1145/3377930.3390217openalex-snapshot
Scaling MAP-Elites to deep neuroevolution
inferredcites →https://doi.org/10.1162/evco_a_00025openalex-snapshot
Abandoning Objectives: Evolution Through the Search for Novelty Alone
inferredcites →https://doi.org/10.1177/1745691620921394openalex-snapshot
Bored Into Depletion? Toward a Tentative Integration of Perceived Self-Control Exertion and Boredom as Guiding Signals for Goal-Directed Behavior
inferredcites →https://doi.org/10.1257/aer.96.4.1043openalex-snapshot
Costly Information Acquisition: Experimental Analysis of a Boundedly Rational Model
inferredcites →https://doi.org/10.1371/journal.pcbi.1003834openalex-snapshot
Memory Maintenance in Synapses with Calcium-Based Plasticity in the Presence of Background Activity
inferredcites →https://doi.org/10.1371/journal.pcbi.1007093openalex-snapshot
Learning to use past evidence in a sophisticated world model
inferredcites →https://doi.org/10.1371/journal.pone.0095693openalex-snapshot
The Exploration-Exploitation Dilemma: A Multidisciplinary Framework
inferredcites →https://doi.org/10.21236/ada440280openalex-snapshot
Intrinsically Motivated Reinforcement Learning
inferredcites →https://doi.org/10.31219/osf.io/pu8f3openalex-snapshot
The Five-Dimensional Curiosity Scale Revised (5DCR): Briefer subscales while separating general overt and covert social curiosity
inferredcites →https://doi.org/10.31234/osf.io/e9azwopenalex-snapshot
Balancing exploration and exploitation with information and randomization
inferredcites →https://doi.org/10.31234/osf.io/h437vopenalex-snapshot
The Exploration Advantage: Children’s instinct to explore allows them to find information that adults miss.
inferredcites →https://doi.org/10.3389/neuro.12.006.2007openalex-snapshot
What is intrinsic motivation? A typology of computational approaches
inferredcites →https://doi.org/10.3390/e17042432openalex-snapshot
Information Geometry on Complexity and Stochastic Interaction
inferredcites →https://doi.org/10.3758/s13414-019-01760-1openalex-snapshot
Resynthesizing behavior through phylogenetic refinement
inferredcites →https://doi.org/10.5465/amj.2006.22083026openalex-snapshot
The Interplay Between Exploration and Exploitation
inferredcites →https://doi.org/10.7551/mitpress/3115.003.0030openalex-snapshot
A Possibility for Implementing Curiosity and Boredom in Model-Building Neural Controllers
inferredcites →https://doi.org/10.7554/elife.04811openalex-snapshot
Homeostatic reinforcement learning for integrating reward collection and physiological stability
inferredcites →https://doi.org/10.7554/elife.41703.027openalex-snapshot
Author response: Computational mechanisms of curiosity and goal-directed exploration
inferredcites →https://doi.org/10.7554/elife.66175openalex-snapshot
Mice in a labyrinth show rapid learning, sudden insight, and efficient exploration
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1126/sciadv.adi3621openalex-snapshot
Open-endedness in synthetic biology: A route to continual innovation for biological design
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3810568/v1openalex-snapshot
A step toward a reinforcement learning de novo genome assembler
inferred← citeshttps://doi.org/10.21203/rs.3.rs-753559/v1openalex-snapshot
A Step Towards a Reinforcement Learning De Novo Genome Assembler
inferred← citeshttps://doi.org/10.3389/fbinf.2025.1633623openalex-snapshot
Using reinforcement learning in genome assembly: in-depth analysis of a Q-learning assembler
inferred← citeshttps://doi.org/10.7554/elife.92683openalex-snapshot
AI-driven automated discovery tools reveal diverse behavioral competencies of biological networks
inferred← citeshttps://doi.org/10.7554/elife.92683.4openalex-snapshot
AI-driven automated discovery tools reveal diverse behavioral competencies of biological networks
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