IRLD 2021: Israeli Reinforcement Learning day
IRLD 2021
April 7th 2021, Virtual
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
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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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