*********************************
Welcome to CSCI 531 --- Fall 2023
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An introduction to reinforcement learning. Proficieny in python is required.

This course will introduce the fundamentals of Reinforcement learning (RL) and Deep learning techniques. The course will cover the Tabular solution methods, such as the finite Markov Decision Processes and Temporal-Difference learning. It will also cover approximation solution methods, as on-policy and off-policy approximations. By the end of the course, new deep-learning techniques will be introduced.



Professors
==========

Dr. Jean-Alexis Delamer
-----------------------

* jdelamer at stfx.ca
* Annex 9C


Lecture Section
^^^^^^^^^^^^^^^

*  Tue: 12:30pm  -  1:20pm  (MULH4024)
*  Thu: 11:30am  - 12:20pm  (MULH4024)
*  Fri:  1:30pm  -  2:20pm  (MULH4024)



Office Hours
^^^^^^^^^^^^

*  Tue:  1:30pm -  3:30pm (Annex 9C)
*  Thu:  1:30pm -  2:30pm (Annex 9C)
*  Fri:  9:00am - 10:00am (Annex 9C)


.. Getting Started
.. ===============

.. .. toctree::
..     :maxdepth: 1
   
..     getting-set/getting-set



.. toctree::
    :caption: Notes
    :maxdepth: 1
    :numbered:
   
    topics/intro/intro
    topics/multi-armed-bandit/the-problem
    topics/multi-armed-bandit/more_about_multi-armed_bandit
    topics/markov-decison-process/markov_decision_process
    topics/markov-decison-process/mdp-learning
    topics/dynamic-programming/dynamic-programming
    topics/monte-carlo/monte-carlo-methods
    topics/Temporal-difference learning/td-learning
    topics/approximate-solutions/on-policy-prediction
    topics/eligibility-traces/eligibility-traces
    topics/policy-gradient/policy-gradient-methods

.. toctree::
    :caption: Labs
    :maxdepth: 1
    :numbered:

    labs/multi-armed-bandit/multi-armed-bandit
    labs/multi-armed-bandit/more-about-multi-armed
    labs/mdp/mdp
    labs/DP/dp
    labs/MC/mc
    labs/TD-learning/td
    labs/on-policy/on-policy
    labs/eligibility-traces/eligibility-traces
    labs/actor-critic/actor-critic


.. toctree::
    :caption: Assignments
    :maxdepth: 1
    :numbered:

    asn/mdp/mdp-asn
    asn/semi-gradient/semi-gradient-asn

.. toctree::
    :caption: Project
    :maxdepth: 1

    project/project

.. toctree::
    :caption: Outline
    :maxdepth: 1
 
    /outline/outline