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fix teaching page
fix teaching. minor changes in config file formatting change sin main page as well as contact.
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‎_config.yml‎

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@@ -6,6 +6,7 @@ title: PAIR # the website title (if blank, full name will be used instead)
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first_name: PAIR
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middle_name:
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last_name: Lab
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email: animesh.garg@gatech.edu
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contact_note: >
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You can even add a little note about which of these is the best way to reach you.
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description: > # the ">" symbol means to ignore newlines until "footer_text:"

‎_pages/about.md‎

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@@ -33,7 +33,7 @@ Our research vision is to build the **Algorithmic Foundations for Generalizable
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[**Research**]({{ site.baseurl }}/research): Our current research focuses on machine learning algorithms for perception and control in robotics. The principal focus of this research is to understand representations and algorithms to enable the efficiency and generality of learning for interaction in autonomous agents.
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We work on challenging open problems at the intersection of computer vision, machine learning, and robotics. We develop algorithms and systems that unify reinforcement learning, control theoretic modeling, causality, and 2D/3D visual scene understanding to teach robots to perceive and to interact with the physical world. [Read more]({{ site.baseurl}}/research)
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If you are interested in joining us, please see details on the [contact]({{ site.baseurl}}/contact)
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If you are interested in joining us, please see details on the [contact]({{ site.baseurl}}/contact) page.
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**Research Interests**: Robotics, Reinforcement Learning, Causality, Perception
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**Current Applications**: Mobile-Manipulation in Retail/Warehouse, Personal/Sevice, and Surgical/Medical robotics.

‎_pages/contact.md‎

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nav_order: 5
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---
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#### Getting Involved
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### Getting in Touch
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Best way to reach Animesh Garg is over email:
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- About Georgia Tech: [animesh.garg@gatech.edu](mailto:animesh.garg@gatech.edu) (preferred)
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- About UofT: [garg@cs.toronto.edu](mailto:garg@cs.toronto.edu)
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```
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Please note that emailing for current courses or graduate admissions is strongly discouraged.
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Please follow instructions in course material to contact staff.
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```
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{% details **Mailing Address** %}
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**Prof. Animesh Garg**
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: CODA 11th Floor, Office S1145
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756 West Peachtree Street
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Atlanta, GA 30308
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{% enddetails %}
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{% details **How to Get Here** %}
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You may follow the [**Maps**](https://www.google.com/maps/place/Coda/@33.7753082,-84.3881242,19.37z/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl!5m1!1e1?coh=245187&entry=tts&g_ep=EgoyMDI1MDUxMS4wIPu8ASoJLDEwMjExNDUzSAFQAw%3D%3D&skid=4c7009e2-1301-425b-a27f-88ffef9d795f)
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You can also get to CODA on public transport using MARTA.
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Disemabark on North Avenue MARTA Station and walk one block north on W Peachtree St NE
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{% enddetails %}
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---
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### Getting Involved in PAIR lab
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Thank you for your interest in our lab!
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We are accepting new students at all levels.
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-->
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{% endtabs %}
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---
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#### Getting in Touch
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Best way to reach Animesh Garg is over email:
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- About Georgia Tech: [animesh.garg@gatech.edu](mailto:animesh.garg@gatech.edu)
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- About UofT: [garg@cs.toronto.edu](mailto:garg@cs.toronto.edu)
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```
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Please note that emailing for current courses is strongly discouraged.
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Please follow instructions in course material to contact staff.
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```
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#### Mailing Address
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**Prof. Animesh Garg**
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: CODA 11th Floor, Office S1145
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756 West Peachtree Street
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Atlanta, GA 30308
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How to Get Here: [**Maps**](https://www.google.com/maps/place/Coda/@33.7753082,-84.3881242,19.37z/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl!5m1!1e1?coh=245187&entry=tts&g_ep=EgoyMDI1MDUxMS4wIPu8ASoJLDEwMjExNDUzSAFQAw%3D%3D&skid=4c7009e2-1301-425b-a27f-88ffef9d795f)

‎_pages/teaching.md‎

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layout: page
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permalink: /teaching/
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title: teaching
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description: Materials for courses you taught. Replace this text with your description.
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description: Materials for courses by Animesh Garg.
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nav: false
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pretty_table: true
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# nav_order: 6
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---
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#### Instructor
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[CSC 498](http://pair.toronto.edu/csc498-f21)
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: **Introduction to Reinforcement Learning**,
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(Initially listed as a Topics in Computer Science Course)
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Instructor (_W-21, F-21_).
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_University of Toronto_.
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[CSC 375](http://pair.toronto.edu/csc375-f20)
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: **Algorithmic Intelligence in Robotics**,
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(Initially listed as a Programming Mechatronics Course)
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Instructor (_F-20_).
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_University of Toronto_.
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[CSC 2547](http://pair.toronto.edu/csc2547-w21)
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: **Topics in Computer Vision: Advances in 3D Vision**
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Instructor (_W-21_).
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_University of Toronto_.
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[CSC 2621](http://pair.toronto.edu/csc2621-w20/#)
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: **Topics in Robotics: Deep Reinforcement Learning**,
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Instructor (_W-20_).
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_University of Toronto_.
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[CS 332](http://cs332.stanford.edu/#!index.md)
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: **Advanced Survey of Reinforcement Learning**,
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Co-Instructor (_[F-17](http://web.stanford.edu/class/archive/cs/cs332/cs332.1182/#!index.md)_), with [Emma Brunskill](http://cs.stanford.edu/people/ebrun/),
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_Stanford University_.
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---
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#### Teaching Assistant
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[IEOR 131](http://www.ieor.berkeley.edu/~ieor131/)
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: **Discrete Event Simulation**, TA (_Sp-16_)
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[Lee Schruben](http://www.ieor.berkeley.edu/~schruben/), _University of California, Berkeley_.
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[IEOR 170](http://www.ieor.berkeley.edu/~ieor170/)
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: **Industrial Design & Human Factors**, TA (_Sp-15_)
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[Ken Goldberg](http://goldberg.berkeley.edu/), _University of California, Berkeley_.
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[IEOR 115](http://www.ieor.berkeley.edu/~ieor115/)
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: **Industrial & Commercial Data Systems**, TA (_[F-11, Sp-13, F-13, F-14](http://courses.ieor.berkeley.edu/ieor115/sample_project.html)_)
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[Ken Goldberg](http://goldberg.berkeley.edu/), _University of California, Berkeley_.
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[IEOR 191](http://www2.ieor.berkeley.edu/courses/ieor-191)
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: **Technology Entrepreneurship**, TA (_F-12_)
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[Ron Lesniak](http://ronlesniak.com/), _University of California, Berkeley_.
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[CS 3451](http://www.cc.gatech.edu/graphics/courses.html)
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: **Computer Graphics**, Reader (_Sp-11_)
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[Greg Turk](http://www.cc.gatech.edu/~turk/), _Georgia Institute of Technology_.
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### Instructor
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| Course | Title | Role | Term(s) | Institution |
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| --------------------------------------------------------- | ------------------------------------------------ | ------------- | ---------------------------------------------------------------------------- | --------------------- |
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| [CS 3600](http://www.cc.gatech.edu/graphics/courses.html) | Intro to Artificial Intelligence | Instructor | S-25 | Georgia Tech |
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| [CS 8803](http://www.cc.gatech.edu/graphics/courses.html) | Deep Reinforcement Learning | Instructor | F-24 | Georgia Tech |
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| [CSC 498](http://pair.toronto.edu/csc498-f21) | Introduction to Reinforcement Learning | Instructor | W-21, F-21 | University of Toronto |
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| [CSC 375](http://pair.toronto.edu/csc375-f20) | Algorithmic Intelligence in Robotics | Instructor | F-20, W-22 | University of Toronto |
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| [CSC 2547](http://pair.toronto.edu/csc2547-w21) | Topics in Computer Vision: Advances in 3D Vision | Instructor | W-21 | University of Toronto |
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| [CSC 2621](http://pair.toronto.edu/csc2621-w20/#) | Topics in Robotics: Deep Reinforcement Learning | Instructor | W-20 | University of Toronto |
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| [CS 332](http://cs332.stanford.edu/#!index.md) | Advanced Survey of Reinforcement Learning | Co-Instructor | [F-17](http://web.stanford.edu/class/archive/cs/cs332/cs332.1182/#!index.md) | Stanford University |
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<br>
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### Teaching Assistant
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| Course | Title | Role | Term(s) | Institution |
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| ---------------------------------------------------------- | ------------------------------------ | ------ | ----------------------- | ------------ |
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| [IEOR 131](http://www.ieor.berkeley.edu/~ieor131/) | Discrete Event Simulation | TA | Sp-16 | UC Berkeley |
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| [IEOR 170](http://www.ieor.berkeley.edu/~ieor170/) | Industrial Design & Human Factors | TA | Sp-15 | UC Berkeley |
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| [IEOR 115](http://www.ieor.berkeley.edu/~ieor115/) | Industrial & Commercial Data Systems | TA | F-11, Sp-13, F-13, F-14 | UC Berkeley |
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| [IEOR 191](http://www2.ieor.berkeley.edu/courses/ieor-191) | Technology Entrepreneurship | TA | F-12 | UC Berkeley |
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| [CS 3451](http://www.cc.gatech.edu/graphics/courses.html) | Computer Graphics | Reader | Sp-11 | Georgia Tech |

‎_sass/_base.scss‎

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footer.sticky-bottom {
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border-top: 1px solid var(--global-divider-color);
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padding-top: 40px;
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padding-bottom: 40px;
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padding-top: 20px;
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padding-bottom: 20px;
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font-size: 0.9rem;
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.container {

‎_sass/_teaching.scss‎

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‎assets/css/main.scss‎

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"cv",
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"tabs",
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"typograms",
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"teaching",
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"people",
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"publications",
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"font-awesome/fontawesome",

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