Research group

Agent Systems and Reinforcement Learning

Reinforcement learning with implicit reward

9 April 2019

In some cases, it is hard to design an appropriate reward function for a specific aim in the reinforcement learning environment.

At the seminar, we will discuss an approach of implicit reward design that uses expert-defined trajectories. We will present experimental results in Atari games and MuJoCo simulator.

Speaker: Mikhail Shavkunov.

Presentation language: Russian.

Date and Time: April 9th, 18:30-20:00.

Place: Times, room 204.

Videos from previous seminars are available at http://bit.ly/MLJBSeminars

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