José J. F. Ribas-Fernandes, Yael Niv, and Matthew M. Botvinick
- Published in print:
- 2011
- Published Online:
- August 2013
- ISBN:
- 9780262016438
- eISBN:
- 9780262298490
- Item type:
- chapter
- Publisher:
- The MIT Press
- DOI:
- 10.7551/mitpress/9780262016438.003.0016
- Subject:
- Neuroscience, Behavioral Neuroscience
This chapter discusses the relevance of reinforcement learning (RL) to its hierarchical structure. It first reviews the fundamentals of RL, with a focus on temporal-difference learning in ...
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This chapter discusses the relevance of reinforcement learning (RL) to its hierarchical structure. It first reviews the fundamentals of RL, with a focus on temporal-difference learning in actor-critic models. Next, it discusses the scaling problem and the computational issues that stimulated the development of hierarchical reinforcement learning (HRL). The potential neuroscientific correlates of HRL are also described. The chapter also presents the results of some initial empirical tests and ends with directions for further research.Less
This chapter discusses the relevance of reinforcement learning (RL) to its hierarchical structure. It first reviews the fundamentals of RL, with a focus on temporal-difference learning in actor-critic models. Next, it discusses the scaling problem and the computational issues that stimulated the development of hierarchical reinforcement learning (HRL). The potential neuroscientific correlates of HRL are also described. The chapter also presents the results of some initial empirical tests and ends with directions for further research.
Clay B. Holroyd and Nick Yeung
- Published in print:
- 2011
- Published Online:
- August 2013
- ISBN:
- 9780262016438
- eISBN:
- 9780262298490
- Item type:
- chapter
- Publisher:
- The MIT Press
- DOI:
- 10.7551/mitpress/9780262016438.003.0018
- Subject:
- Neuroscience, Behavioral Neuroscience
This chapter discusses a new integrative theory of anterior cingulate cortex (ACC) function that proposes that the dorsal ACC supports the selection and execution of coherent behaviors over extended ...
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This chapter discusses a new integrative theory of anterior cingulate cortex (ACC) function that proposes that the dorsal ACC supports the selection and execution of coherent behaviors over extended periods. It first presents the current theories of ACC function and its role in four key aspects of behavior: performance monitoring, action, reinforcement learning, and motivation. The chapter then outlines a new theory that proposes that ACC contributes to hierarchical reinforcement learning or high-level, temporally extended behaviors.Less
This chapter discusses a new integrative theory of anterior cingulate cortex (ACC) function that proposes that the dorsal ACC supports the selection and execution of coherent behaviors over extended periods. It first presents the current theories of ACC function and its role in four key aspects of behavior: performance monitoring, action, reinforcement learning, and motivation. The chapter then outlines a new theory that proposes that ACC contributes to hierarchical reinforcement learning or high-level, temporally extended behaviors.