Learning and Behavior: A Contemporary Synthesis
By M. Bouton. 2006
394 citations recorded by the source corpus.
Subfields: Reinforcement Learning
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Reinforcement Learning
- Peter Stone
- W. B. Knox
- Sergey Levine
- R. J. Dolan
- Matthew E. Taylor
- J. Urgen Schmidhuber
- Quentin J. M. Huys
- Peter S. Dayan
Citations in the corpus
- Shortcut learning in deep neural networks (2020, background): “phenomenon. Once a predictive cue/feature (say, a light flash) has been associated with an outcome (e.g. food), animals sometimes fail to associate a new, equally predictive cues with the same outcome [42,43,44]. 8 Figure 4. Both human and machine vision generalise, but they generalise very different”
- Disentangling the Roles of Approach, Activation and Valence in Instrumental and Pavlovian Responding (2011, background): “The instrumental component respects the stimulus-dependent contingency between responses and their outcomes (stimulus-response and action-outcome learning) [3].”
- Interactively shaping agents via human reinforcement: the TAMER framework (2009, background): “There, shaping is defined as training by reinforcing successively improving approximations of the target behavior [6].”
- How Humans Teach Agents - A New Experimental Perspective (2012, background): “and other animals learn [5] and, complementarily, how peo-”
- Building health behavior models to guide the development of just-in-time adaptive interventions: A pragmatic framework (2015, background): “…highlight the importance of concepts such as shaping (i.e., training by reinforcing successively improving approximations of a desired behavior; Bouton, 2007; Ferster & Skinner, 1957) and teachable moments (i.e., a time when a person is more likely to internalize information and take action;…”
- The placebo effect: From concepts to genes. (2015, neutral): “Partial reinforcement refers to when the cue is paired with the relevant outcome on some, but not all trials (Bouton, 2007).”
- TAMER: Training an Agent Manually via Evaluative Reinforcement (2008, background): “In fact, in the animal learning literature, training by reinforcement (i.e. shaping) is defined as rewarding successive approximations of the goal behavior [9].”
- Coming to terms with fear (2014, background): “Whereas the CS does come to control defensive freezing, this is not the same response elicited by the US—the US elicits jumping, flight, and other responses (9, 51, 57).”
- Neural interactions in the human frontal cortex dissociate reward and punishment learning (2024, background): “These learning abilities are formalized by the law of effect (Thorndike, 1898; Bouton, 2007) and they pertain the goal-directed system, which supports the acquisition of action-outcome contingencies and the selection of actions according to expected outcomes, as well as current goal and…”