Information, Control, and Learning – The Ingredients of Intelligent Behavior

The Brindell and Milton Gottlieb Auditorium, The Rothberg Family buildings,

Rachel and Selim Benin School of Computer Science and Engineering

Edmond J. Safra Campus, Jerusalem

Organizing committee: Naftali Tishby, Yair Weiss and Israel Nelken

Session 1: Information & Control – What’s the connection?     

Chair: Yair Weiss

Naftali Tishby – The Hebrew University of Jerusalem, Israel –

The Synergy between Information and Control

Sanjoy Mitter – Massachusetts Institute of Technology, USA –

Information and Entropy Flow in Estimation and Control

Susanne Still [Online video talk] – University of Hawaii, USA

Optimal Information Processing: Dissipation and Irrelevant Information 

Bert Kappen – Radboud University, Netherlands and University College London, UK

Integrating control, inference and learning.  Is it what the brain does?

Session 2: Sensorimotor Loops and Decision Making                 

Chairs: Israel Nelken & Naama Brenner

Kenji Doya – Okinawa Institute of Science and Technology, Japan

Neural Circuit Mechanisms of Mental Simulation 

Daniel Wolpert University of Cambridge, UK –

Sensorimotor decisions 

Yifat Prut The Hebrew University of Jerusalem –

Inhibitory control of motor timing 

Fritz Sommer – University of California, Berkeley, USA –

Information-theory based policies for exploratory learning in sensorimotor loops 

Session 3: Cognition and Embodiment                              

Chair: Ron Meir

Andrea Cavagna –Institute for Complex System, Italy –

Information transfer and behavioral inertia in starling flocks 

Shai Shalev-Shwartz – The Hebrew University of Jerusalem & Mobileye –

Deep Reinforcement Learning for Driving Policy

Nihat Ay – Max Planck Institute for Mathematics in the Science, Germany

Mathematical Aspects of Embodied Intelligence

Daniel Polani – University of Hertfordshire, UK

Informational Drivers of Cognition 

Session 4: Neural coding and representation                                

Chair: Yifat Prut

Reza Shadmehr – Johns Hopkins University –

Encoding of action by the Purkinje cells of the cerebellum 

Ron Meir –Technion – Israel Institute of Technology, Israel –

Optimal Neural Codes for Estimation and Control 

Máté Lengyel – University of Cambridge, UK

Neural variability and sampling-based probabilistic representations in the visual cortex 

Tatyana Sharpee – Salk Institute for Biological Studies, USA

How Invariant feature selectivity is achieved in cortex 

Session 5: Learning to decide and behave                               

Chair: Amir Globerson

Alexandre Pouget –University of Geneva, Switzerland –

Optimal policies for value-based decision making

Satinde Singh Baveja– University of Michigan, USA

Rethinking State Action and Reward in Reinforcement Learning

Shie Mannor – Technion – Israel Institute of Technology –

Regularization and Robustness in Reinforcement Learning

Takashi Tanaka – KTH Royal Institute of Technology, Sweden

LQG Control with Minimum Directed Information: A Semidefinite Programming Approach

Session 6: Predictions, Adaptation and Planning                       

Chair: Shie Mannor

Naama Brenner – Technion – Israel Institute of

Technology, Israel –

Exploratory adaptation in random networks 

Amir Globerson – Tel Aviv University, Israel –

Variational Conditional Probabilities

Israel Nelken – The Hebrew University of Jerusalem, Israel –

Information-theoretic bounds and brains: prediction and planning

Talk abstracts (PDF)

Directions to the conference venue click here

Video lectures channel on YouTubeposter-icl-2016.jpg

Event contact information:
For questions and comments please contact Alona Shani-Narkiss:

“Working memory”