The Conference for Machine Learning Innovation

Reinforcement learning and imitation learning using deep learning Workshop: Human and AI collaborations Part 2

Workshop
Join the ML Revolution!
Register until October 20:
✓ Save up to $233
✓ Team discount
✓ Extra Specials for Freelancers
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Join the ML Revolution!
Register until October 20:
✓ Save up to $233
✓ Team discount
✓ Extra Specials for Freelancers
Register Now
Join the ML Revolution!
Register until November 03:

✓ Save up to €494
✓ 10% Team Discount✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Register until November 03:

✓ Save up to €494
✓ 10% Team Discount✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now
Infos
Friday, December 2 2022
13:30 - 17:00

Deep Reinforcement-Learning (RL) in various decision-making tasks of Machine-Learning (ML)
provides effective results with an agent/agents learning from observing an environment and
gaining rewards and punishments. RL as a great technique in ML shows its ability to be utilized
in different time-series and Computer Vision-based (CV) projects like autonomous driving, robotics,
traffic control, web system configuration, recommendation systems and game applications.
In complex environments where RL underperforms as a consequence of extensive demonstration
information in long-horizon problems, Imitation Learning (IL) offers a promising solution for the challenges.
In IL, the learning process can take advantage of human-sourced assistance and/or control over the agent and environment.
The purpose of this workshop is to provide an introduction to Deep RL and IL at a level easily understood by students and
researchers in a wide range of disciplines. Also, we will overview different RL and IL techniques and methods as long as
discuss how they are utilized to improve the performance of different tasks. Also, we cover the usage of RL and IL in CV,
NLP and time-series tasks.

This Session belongs to the Diese Session gehört zum Programm vom BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von Singapore Singapore .

Take me to the full program of Zum vollständigen Programm von Berlin Berlin .

This Session belongs to the Diese Session gehört zum Programm vom BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von Munich Munich .

This Session Diese Session belongs to the gehört zum Programm von BerlinBerlin program. Take me to the current program of . Hier geht es zum aktuellen Programm von Singapore Singapore , Berlin Berlin or oder Munich Munich .

Behind the Tracks