IRLD 2021: Israeli Reinforcement Learning day

IRLD 2021

April 7th 2021, Virtual
IRLD 2021_Israeli Reinforcement Learning day

We are thrilled to announce the first Israeli Reinforcement Learning Day, an academic meetup of researchers and practitioners of Reinforcement Learning in Israeli academia and industry. The event will take place virtually on Wednesday 7/4/2021, and will include talks by invited speakers and short presentations of recent work in the field by Israeli researchers.

Schedule

8:55-9:00
IRLD organizers – Opening remarks
9:00-9:30
Guy Tenenholtz – Offline Reinforcement Learning (Tutorial)
9:30-9:50
Daniel Mankowitz – Challenges of Real World Reinforcement Learning
9:50-10:00
Break
10:00-10:50
Session 1
 
Hanan Shteingart – The Business Value of Reinforcement Learning and Causal Inference
 
Ran Levy – Call Assignment in Cellular Networks with Vehicular Relay Nodes
 
Binyamin Manela – Bias-Reduced Hindsight Experience Replay with Virtual Goal
 
Dean Zadok – Modeling Affect-based Intrinsic Rewards for Exploration and Learning
10:50-11:00
Break
11:00-11:45
Keynote speaker: Aviv Tamar
11:45-12:10
Session 2
 
Gal Dalal – Acting in Delayed Environments with Non-Stationary Markov Policies
 
Yonathan Efroni – Confidence-Budget Matching for Sequential Budgeted Learning
12:10-13:10
Break
13:10-13:55
Keynote speaker: Shie Mannor
13:55-14:20
Session 3
 
Lior Shani – Online Apprenticeship Learning
 
Asaf Cassel – Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with √T Regret
14:20-14:30
Break
14:30-15:15
Keynote speaker: Yishay Mansour
15:15-15:40
Session 4
 
Oren Peer – Ensemble Bootstrapping for Q-Learning
 
Shadi Endrawis – Efficient Self-Supervised Data Collection for Offline Robot Learning
15:40-15:50
Break
15:50-16:40
Session 5
 
Carmel Rabinovitz – Unsupervised Feature Learning for Manipulation with Contrastive Domain Randomization
 
Dan Kushnir – Impact-driven Exploration with Contrastive Unsupervised Representations
 
Alap Kshirsagar – Evaluating Guided Policy Search for Human-Robot Handovers
16:40-17:10
Tom Zahavy – Meta-gradient Reinforcement Learning (Tutorial)
 
 

Invited Speakers

Aviv Tamar
Shie Mannor
Yishay Mansour
Technion
Technion & NVIDIA
TAU & Google

Organizers

 
Aviv Rosenberg
Assaf Hallak
Orr Krupnik
Tom Jurgenson
TAU
NVIDIA
Technion
Technion
 

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