RTG Computational Cognition

Under-resourced or overloaded Rethinking working memory deficits in developmental language disorder

RTG Computational Cognition

Understanding rat behavior in a naturalistic task vianon-deterministic policies

RTG Computational Cognition

Claire Sergent Brain dynamics associated with conscious processing

RTG Computational Cognition

Emergent resonances in recurrent neural networks and their effects on learning

RTG Computational Cognition

Social Context Shapes Value Representation during Learning

RTG Computational Cognition

Richard Baraniuk Deep Network Spline Geometry

RTG Computational Cognition

Andrea E. Martin Boundary conditions for language in biological and artificial neural systems

RTG Computational Cognition

Human Random Generation as a Locally-Bound Process

RTG Computational Cognition

Fostering Compositionality in Generative RNNs to Solve the Omniglot challenge

RTG Computational Cognition

Tom Griffiths Understanding human intelligence through human limitations

RTG Computational Cognition

Jacob Andreas Implicit representations of meaning in neural language models

RTG Computational Cognition

Reinforcement Learning in Neuroscience

RTG Computational Cognition

Reinforcement Learning in Psychology

RTG Computational Cognition

Reinforcement Learning Crash Course - Summary

RTG Computational Cognition

Reinforcement Learning Crash Course - Eligibility Traces & Function Approximation

RTG Computational Cognition

Reinforcement Learning Crash Course - n-step TD Learning

RTG Computational Cognition

Reinforcement Learning Crash Course - Time-Difference Learning

RTG Computational Cognition

Reinforcement Learning Crash Course - Monte Carlo

RTG Computational Cognition

Reinforcement Learning Crash Course - Dynamic Programming

RTG Computational Cognition

Reinforcement Learning Crash Course - Markov Decision Processes

RTG Computational Cognition

Reinforcement Learning Crash Course - Introduction

RTG Computational Cognition