Reinforcement Learning

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The latest developments in Reinforcement Learning from those leading research and applications!

6+

Hours of content

23

Speakers

1

Interviews

Overview

RE•WORK summits bring together those at the forefront of advancements in reinforcement learning to achieve the goal of human-level intelligence. We have created this playlist of our top RL talks.

Full Playlist Library

Scroll down to view the full library of presentations from the event and to purchase access to all the recorded sessions.

Building Knowledge For AI Agents With Reinforcement Learning - Doina Precup

Doina Precup, Associate Professor at McGill University

Secure Deep Reinforcement Learning

Dawn Song , Professor of Computer Science at UC Berkeley

Rewards, Resets, Exploration: Bottlenecks For Scaling Deep RL In Robotics

Shane Gu, Research Scientist at Google Brain

Driving Cars On UK Roads With Deep Reinforcement Learning

Alex Kendall, CTO & Co-Founder at Wayve

Towards Simplifying Supervision In Deep Meta

Abhishek Gupta, PhD Student at UC Berkeley

POET: Endlessly Generating Increasingly Complex and Diverse Learning Environments and their Solutions through the Paired Open-Ended Trailblazer

Jeff Clune, Research Manager/ Team Lead at OpenAI

Off Policy Reinforcement For Real-World Robots

Alex Irpan , Software Engineer at Google Brain

Learning To Reason, Summarise and Discover With Deep Reinforcement Learning

Stephan Zheng , Senior Research Scientist at Salesforce Research

DRL For Robots In Extreme Environments

Alicia Kavelaars, CTO & Co-Founder at OffWorld

Continually Evolving Machines: Learning by Experimenting

Pulkit Agrawal , Research Scientist at UC Berkeley

Deep Reinforcement Learning On Robotics By Priors

Jianlan Luo , PhD Student at UC Berkeley

What are the Key Obstacles Preventing the Progression And Application Of Deep RL Industry

Franziska Meier, Facebook AI Research ; Peter Henderson , Stanford University ; Joren Gijsbrechts, KU Leuven; Dmytro Filatov , AI Mechanic & Aimech Technologies

Learning To Act By Learning To Describe

Jacob Andreas , Assistant Professor and Senior Researcher at MIT/ Microsoft Semantic Machines

Can Deep Reinforcement Learning Improve Inventory management

Joren Gijsbrechts, PhD Student at KU Leuven

Reinforcement Learning in Interactive Fiction Games

Matthew Hausknecht , Researcher at Microsoft Research AI

Learning Values And Policies From State Observations

Ashley Edwards , Research Scientist at Uber AI Labs

Learning Abstractions With Hierarchical Reinforcement Learning

Ofir Nachum, Brain Resident at Google

Financial Applications of Reinforcement Learning

Igor Halperin , Research Professor of Financial Machine Learning at New York University

Lifelong Learning For Robotics

Franziska Meier, Research Scientist at Facebook AI Research

Robots And The Sence Of Touch

Roberto Calandra , Research Scientist at Facebook AI Research

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