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Intrinsic rewards explain context-sensitive valuation in reinforcement learning
9 references·5 citing·41 second hop
Intrinsic rewards explain context-sensitive valuation in reinforcement learning (2023)Intrinsic rewards explain context-sensiti…Asymmetric reinforcement learning facilitates human inference of transitive relations (2022)Asymmetric reinforcement lear…Two sides of the same coin: Beneficial and detrimental consequences of range adaptation in human reinforcement learning (2021)Two sides of the same coin: B…Context-dependent outcome encoding in human reinforcement learning (2021)Context-dependent outcome enc…The Normalization of Consumer Valuations: Context-Dependent Preferences from Neurobiological Constraints (2020)The Normalization of Consumer…How people decide what they want to know (2020)How people decide what they w…How similarity between choice options affects decisions from experience: The accentuation-of-differences model. (2019)How similarity between choice…Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences (2018)Reference-point centering and…The Neurobiology of Context-Dependent Valuation and Choice (2013)The Neurobiology of Context-D…Handbook of motivation science (2008)Handbook of motivation scienceRelative Value Encoding in Large Language Models: A Multi-Task, Multi-Model Investigation (2025)Relative Value Encoding in La…Distributional dual-process model predicts strategic shifts in decision-making under uncertainty (2025)Distributional dual-process m…Action repetition biases choice in context-dependent decision-making (2025)Action repetition biases choi…Frequent winners explain apparent skewness preferences in experience-based decisions (2024)Frequent winners explain appa…Explaining decision biases through context-dependent repetition (2024)Explaining decision biases th…The Problem of Social Cost (1960)Conditional logit analysis of qualitative choice behavior (1972)The Framing of Decisions and the Psychology of Choice (1981)Context-dependency in valuation (2016)Framing effects in intertemporal choice: A nudge experiment (2017)Adaptive tuning of human learning and choice variability to unexpected uncertainty (2023)Elimination by aspects: A theory of choice. (1972)Prospect theory: An analysis of decision under risk (1988)Advances in prospect theory: Cumulative representation of uncertainty (1992)Encoding Context Determines Risky Choice (2021)Human value learning and representation reflect rational adaptation to task demands (2022)The Future of Decisions From Experience: Connecting Real-World Decision Problems to Cognitive Processes (2023)Choices, values, and frames. (1984)Theory of games and economic behavior (2019)Biased belief updating and suboptimal choice in foraging decisions (2020)On the psychology of prediction. (1973)The illusion of control. (1975)Confirmation Bias: A Ubiquitous Phenomenon in Many Guises (1998)The Bias That Divides Us (2021)The echo chamber effect on social media (2021)A reward-learning framework of knowledge acquisition: An integrated account of curiosity, interest, and intrinsic–extrinsic rewards. (2022)Prospect Theory: An Analysis of Decision under Risk (1979)Discrete Choice Methods with Simulation (2001)A map of decoy influence in human multialternative choice (2020)Pairwise normalization: A neuroeconomic theory of multi-attribute choice (2021)High-value decisions are fast and accurate, inconsistent with diminishing value sensitivity (2022)Subjective probability: A judgment of representativeness (1972)Regret Theory: An Alternative Theory of Rational Choice Under Uncertainty (1982)Maps of Bounded Rationality: Psychology for Behavioral Economics (2003)Choice-confirmation bias and gradual perseveration in human reinforcement learning. (2022)Decision neuroscience and neuroeconomics: Recent progress and ongoing challenges (2022)Judgement and Reasoning in the Child (2002)Homo Heuristicus: Why Biased Minds Make Better Inferences (2009)Developmental changes resemble stochastic optimization (2022)Disclosing the interactive mechanism behind scientists’ topic selection behavior from the perspective of the productivity and the impact (2023)Depression Babies: Do Macroeconomic Experiences Affect Risk Taking?* (2011)Reply to Vanunu and Newell: The frequent-winner effect is necessary to explain experience-based decisions (2025)Dynamic computational phenotyping of human cognition (2024)Anger is an approach-related affect: Evidence and implications. (2009)A meta-analytic review of achievement goal measures: Different labels for the same constructs or different constructs with similar labels? (2010)The Necessity of Others is The Mother of Invention: Intrinsic and Prosocial Motivations, Perspective Taking, and Creativity (2011)
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References

  • 2008Handbook of motivation science1,404 cited
  • 2020How people decide what they want to know389 cited
  • 2018Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences79 cited
  • 2021Context-dependent outcome encoding in human reinforcement learning77 cited
  • 2020The Normalization of Consumer Valuations: Context-Dependent Preferences from Neurobiological Constraints68 cited
  • 2021Two sides of the same coin: Beneficial and detrimental consequences of range adaptation in human reinforcement learning53 cited
  • 2019How similarity between choice options affects decisions from experience: The accentuation-of-differences model.51 cited
  • 2022Asymmetric reinforcement learning facilitates human inference of transitive relations51 cited
  • 2013The Neurobiology of Context-Dependent Valuation and Choice35 cited

Cited by

  • 2024Frequent winners explain apparent skewness preferences in experience-based decisions10 cited
  • 2025Distributional dual-process model predicts strategic shifts in decision-making under uncertainty3 cited
  • 2025Action repetition biases choice in context-dependent decision-making3 cited
  • 2024Explaining decision biases through context-dependent repetition2 cited
  • 2025Relative Value Encoding in Large Language Models: A Multi-Task, Multi-Model Investigation

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1 cited