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SUMMARY:Computational Neuroscience Journal Club - Calvin Kao and Marine Sc
 himel
DTSTART:20201215T150000Z
DTEND:20201215T163000Z
UID:TALK154786@talks.cam.ac.uk
CONTACT:Jake Stroud
DESCRIPTION:Please join us for our fortnightly journal club online via zoo
 m where two presenters will jointly present a topic together. The next top
 ic is ‘Successor representations in RL and neuroscience’ presented by 
 Calvin Kao and Marine Schimel.\n\nZoom information:\n\nhttps://us02web.zoo
 m.us/j/84197886178?pwd=SVFKbjc0dmVFR3JwYTQ5ek5UM1pTQT09\n\nMeeting ID: 841
  9788 6178\n\nPasscode: 659046\n\nTopic summary:\n\nReinforcement learning
  algorithms are commonly categorised as either model-based\, where the age
 nt has an explicit model of the environment\, or model-free\, where it doe
 s not. Successor representations (SR) are used in a class of reinforcement
  learning algorithms that lie between these two extremes. These algorithms
  enable fast generalisation to new tasks with different reward distributio
 ns but the same transition dynamics. In recent years\, there has been incr
 easing interest in SR within both the neuroscience and machine learning co
 mmunities\, as SR are useful for meta-reinforcement learning and there is 
 growing behavioural and neural evidence that the brain uses SR for learnin
 g. In this journal club\, we will briefly review basic concepts in reinfor
 cement learning before introducing the SR framework for reinforcement lear
 ning. We will then review two recent papers that provide evidence for SR i
 n the brain:\n\n1. The successor representation in human reinforcement lea
 rning\, Momennejad et al.\, 2017\, Nature Human Behaviour\n\n2. The hippoc
 ampus as a predictive map\, Stachenfeld et al.\, 2017\, Nature Neuroscienc
 e
LOCATION:Online on Zoom
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