Panel: The future of reinforcement learning
This panel brings together a variety of experts from industry and academia to discuss the question, what is the future of reinforcement learning? Reinforcement learning is an important research area in AI currently, and it has been an important research area in human and animal behavior since at least the middle of the 20th century. More recently, reinforcement learning research has been energized by a series of positive results, often based on deep models, in areas such as personalization and game-playing. However, there remain a wide variety of open questions, both theoretical and practical. We’ll gather expert perspectives on which open questions are the most important as well as where the likely answers might come from.
Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit (opens in new tab)
- 轨迹:
- Reinforcement Learning
- 日期：
- 演讲者：
- Geoff Gordon, Emma Brunskill, Craig Boutilier, Sham Kakade, Joelle Pineau, Csaba Szepesvari
- 所属机构：
- Microsoft Research Montreal, Stanford University, Google, Microsoft Research NYC, Facebook/McGill University, DeepMind/University of Alberta
-
-
Geoff Gordon
Partner Researcher
-
Emma Brunskill
Associate Professor, Computer Science Department
Stanford University
-
Craig Boutilier
Principal Scientist
Google
-
Sham Kakade
Sr. Principal Researcher
-
Csaba Szepesvari
Team Lead / Professor
DeepMind / University of Alberta
-
Joelle Pineau
Managing Director / Associate Professor
Facebook AI Research / McGill University
-
-
Reinforcement Learning
-
-
-
Research talk: Reinforcement learning with preference feedback
Speakers:- Aadirupa Saha
-
-
-
-
-
-
Panel: Generalization in reinforcement learning
Speakers:- Mingfei Sun,
- Roberta Raileanu,
- Harm van Seijen
-
-
Research talk: Successor feature sets: Generalizing successor representations across policies
Speakers:- Kiante Brantley
-
Research talk: Towards efficient generalization in continual RL using episodic memory
Speakers:- Mandana Samiei
-
Research talk: Breaking the deadly triad with a target network
Speakers:- Shangtong Zhang
-
Panel: The future of reinforcement learning
Speakers:- Geoff Gordon,
- Emma Brunskill,
- Craig Boutilier
-
