Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks (bibtex)
by S. Sharifzadeh, I. Chiotellis, R. Triebel and D. Cremers
Reference:
Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks (S. Sharifzadeh, I. Chiotellis, R. Triebel and D. Cremers), In , NIPS Workshops, 2016. ([arxiv])
Bibtex Entry:
@inproceedings{sahand2016drive,
 author = {S. Sharifzadeh and I. Chiotellis and R. Triebel and D. Cremers},
 title = {Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks},
 year = {2016},
 publisher = {NIPS Workshops},
 month = {December},
 keywords = {autonomous driving, reinforcement learning, artificial intelligence, DQN, deep learning},
}
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Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks (bibtex)
Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks (bibtex)
by S. Sharifzadeh, I. Chiotellis, R. Triebel and D. Cremers
Reference:
Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks (S. Sharifzadeh, I. Chiotellis, R. Triebel and D. Cremers), In , NIPS Workshops, 2016. ([arxiv])
Bibtex Entry:
@inproceedings{sahand2016drive,
 author = {S. Sharifzadeh and I. Chiotellis and R. Triebel and D. Cremers},
 title = {Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks},
 year = {2016},
 publisher = {NIPS Workshops},
 month = {December},
 keywords = {autonomous driving, reinforcement learning, artificial intelligence, DQN, deep learning},
}
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members:chiotell

Table of Contents

Find me on github.

Research Interests

I am interested in Artificial Intelligence, Machine Learning and Robotics. In particular, I think a lot about

  • metric learning - because everything is relative,
  • space partitioning - because you have to divide to conquer,
  • reinforcement learning - because you have to act if you want to change the future.

For the last part, I consider how agents integrate information over time, reason and make intelligent decisions.

Brief Bio

I received my B.Sc. in Computer Science from the Technical Educational Institute of Athens in 2012 and my M.Sc. in Computer Science (Robotics, Cognition, Intelligence) from the Technical University of Munich in 2015. Since October 2015, I am a PhD student in the Computer Vision Research Group, headed by Prof. Dr. Daniel Cremers at TUM.

Publications

Teaching

Winter 2018 - Lecture (tutorial)
Machine Learning for Robotics and Computer Vision (IN2357) (2h + 2h, 5ECTS)

Summer 2018 - Lecture (tutorial)
Machine Learning for Robotics and Computer Vision (IN2357) (2h + 2h, 5ECTS)

Winter 2017 - Lecture (tutorial)
Machine Learning for Robotics and Computer Vision (IN3200) (2h + 2h, 5ECTS)

Summer 2017 - Lecture (tutorial)
Machine Learning for Robotics and Computer Vision (IN3200) (2h + 1h, 4ECTS)

Winter 2016 - Lecture (tutorial)
Machine Learning for Robotics and Computer Vision (IN3200) (2h + 1h, 4ECTS)

Summer 2016 - Lecture (tutorial)
Machine Learning for Robotics and Computer Vision (IN3200) (2h + 1h, 4ECTS)

Summer 2016 - Practical Course
Machine Learning for Applications in Computer Vision (IN2106) (6h, 10 ECTS)

Winter 2015 - Lecture (tutorial)
Machine Learning for Robotics and Computer Vision (IN3200) (2h + 1h, 4ECTS)