Replace spring20 urls with master (yandexdataschool#451)

* s/spring20/master/g

* s/spring20/master/g in Markdown files

* s/spring20/master/g in setup_colab.sh

Author: dniku

setup_colab.sh

@@ -2,4 +2,4 @@
 
 apt-get -qq update
 apt-get -qq install -y xvfb
-wget -q https://raw.githubusercontent.com/yandexdataschool/Practical_RL/spring20/xvfb -O ../xvfb
+wget -q https://raw.githubusercontent.com/yandexdataschool/Practical_RL/master/xvfb -O ../xvfb

week01_intro/crossentropy_method.ipynb

@@ -17,7 +17,7 @@
    "source": [
     "import sys, os\n",
     "if 'google.colab' in sys.modules and not os.path.exists('.setup_complete'):\n",
-    "    !wget -q https://raw.githubusercontent.com/yandexdataschool/Practical_RL/spring20/setup_colab.sh -O- | bash\n",
+    "    !wget -q https://raw.githubusercontent.com/yandexdataschool/Practical_RL/master/setup_colab.sh -O- | bash\n",
     "    !touch .setup_complete\n",
     "\n",
     "# This code creates a virtual display to draw game images on.\n",

week01_intro/deep_crossentropy_method.ipynb

@@ -20,7 +20,7 @@
    "source": [
     "import sys, os\n",
     "if 'google.colab' in sys.modules and not os.path.exists('.setup_complete'):\n",
-    "    !wget -q https://raw.githubusercontent.com/yandexdataschool/Practical_RL/spring20/setup_colab.sh -O- | bash\n",
+    "    !wget -q https://raw.githubusercontent.com/yandexdataschool/Practical_RL/master/setup_colab.sh -O- | bash\n",
     "\n",
     "    !touch .setup_complete\n",
     "\n",

week01_intro/primer_python_for_ml/recap_ml.ipynb

@@ -121,7 +121,7 @@
     "\n",
     "import sys\n",
     "if 'google.colab' in sys.modules:\n",
-    "    !wget -q https://raw.githubusercontent.com/yandexdataschool/Practical_RL/spring20/week01_intro/primer_python_for_ml/train.csv"
+    "    !wget -q https://raw.githubusercontent.com/yandexdataschool/Practical_RL/master/week01_intro/primer_python_for_ml/train.csv"
    ]
   },
   {

week01_intro/seminar_gym_interface.ipynb

@@ -8,7 +8,7 @@
    "source": [
     "import sys, os\n",
     "if 'google.colab' in sys.modules and not os.path.exists('.setup_complete'):\n",
-    "    !wget -q https://raw.githubusercontent.com/yandexdataschool/Practical_RL/spring20/setup_colab.sh -O- | bash\n",
+    "    !wget -q https://raw.githubusercontent.com/yandexdataschool/Practical_RL/master/setup_colab.sh -O- | bash\n",
     "\n",
     "    !touch .setup_complete\n",
     "\n",

week02_value_based/README.md

@@ -9,6 +9,6 @@
 
 ## Homework description:
 
-The main assignment is `seminar_vi.ipynb`[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/yandexdataschool/Practical_RL/blob/spring20/week02_value_based/seminar_vi.ipynb) notebook in this week's folder. It has no requirements besides the most basic data science libraries (e.g. numpy) so you should be able to run it locally.
+The main assignment is `seminar_vi.ipynb`[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/yandexdataschool/Practical_RL/blob/master/week02_value_based/seminar_vi.ipynb) notebook in this week's folder. It has no requirements besides the most basic data science libraries (e.g. numpy) so you should be able to run it locally.
 
 __Note:__ if you have any difficulty using graphviz, just set `has_graphviz=False`.

week02_value_based/seminar_vi.ipynb

@@ -30,8 +30,8 @@
    "source": [
     "import sys, os\n",
     "if 'google.colab' in sys.modules and not os.path.exists('.setup_complete'):\n",
-    "    !wget -q https://raw.githubusercontent.com/yandexdataschool/Practical_RL/spring20/setup_colab.sh -O- | bash\n",
-    "    !wget -q https://raw.githubusercontent.com/yandexdataschool/Practical_RL/spring20/week02_value_based/mdp.py\n",
+    "    !wget -q https://raw.githubusercontent.com/yandexdataschool/Practical_RL/master/setup_colab.sh -O- | bash\n",
+    "    !wget -q https://raw.githubusercontent.com/yandexdataschool/Practical_RL/master/week02_value_based/mdp.py\n",
     "    !touch .setup_complete\n",
     "\n",
     "# This code creates a virtual display to draw game images on.\n",

week03_model_free/README.md

@@ -3,8 +3,8 @@
 * Russian materials:
    - Lecture - [video](https://yadi.sk/i/jcQ1Bg8n3SrhuQ)
    - Seminars
-      - Q-learning seminar - [video](https://yadi.sk/i/dQmolwOy3EtGNK) (older track - [assignment](https://github.com/neer201/Practical_RL/tree/spring20/week03_model_free/crawler_and_pacman/seminar_py2))
-      - SARSA & stuff - [video](https://yadi.sk/i/XbqNQmjm3ExNsq) 
+      - Q-learning seminar - [video](https://yadi.sk/i/dQmolwOy3EtGNK) (older track - [assignment](https://github.com/neer201/Practical_RL/tree/master/week03_model_free/crawler_and_pacman/seminar_py2))
+      - SARSA & stuff - [video](https://yadi.sk/i/XbqNQmjm3ExNsq)
 * English materials:
    - Lecture by David Silver (english) - [video part I](https://www.youtube.com/watch?v=PnHCvfgC_ZA), [video part II](https://www.youtube.com/watch?v=0g4j2k_Ggc4&t=43s)
    - Alternative lecture by Pieter Abbeel (english) - [video](https://www.youtube.com/watch?v=ifma8G7LegE)
@@ -18,9 +18,9 @@
 
 ### Assignments
 
-Just as usual, start with 
-- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/yandexdataschool/Practical_RL/blob/spring20/week03_model_free/seminar_qlearning.ipynb)
+Just as usual, start with
+- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/yandexdataschool/Practical_RL/blob/master/week03_model_free/seminar_qlearning.ipynb)
 `seminar_qlearning.ipynb` _Implement q-learning agent and test it on Taxi and CartPole with binarizer_
 
-and then proceed to 
-- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/yandexdataschool/Practical_RL/blob/spring20/week03_model_free/homework.ipynb) `homework.ipynb` _Implement EV-SARSA agent, experience replay + bonus tasks_
+and then proceed to
+- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/yandexdataschool/Practical_RL/blob/master/week03_model_free/homework.ipynb) `homework.ipynb` _Implement EV-SARSA agent, experience replay + bonus tasks_

week03_model_free/crawler_and_pacman/seminar_py2/README.md

@@ -1,5 +1,5 @@
 # Disclaimer
-This assignment is not supported now. You can do it at your own risk. 
+This assignment is not supported now. You can do it at your own risk.
 
 _this assignment borrows code from awesome [cs188](http://ai.berkeley.edu/project_overview.html)_
 This homework assignment works on __python2 only__. If you stick to py3, consider seminar_alternative. Or just install it for this homework alone and remove afterwards.
@@ -17,8 +17,8 @@ python pacman.py -p PacmanQAgent -x 5000 -n 5010 -l smallGrid # example
 ```
 * Make sure you can tune agent to beat ./run_crawler.sh
  * on windows, just run `python crawler.py` from cmd in the project directory
-* other ./run* files are mostly for your amusement. 
-  * ./run_pacman.sh will need more epochs to converge, see [comments](https://github.com/yandexdataschool/Practical_RL/blob/spring20/week03_model_free/crawler_and_pacman/seminar_py2/run_pacman.sh)
+* other ./run* files are mostly for your amusement.
+  * ./run_pacman.sh will need more epochs to converge, see [comments](https://github.com/yandexdataschool/Practical_RL/blob/master/week03_model_free/crawler_and_pacman/seminar_py2/run_pacman.sh)
   * on windows, just copy the type `python pacman.py -p PacmanQAgent -x 2000 -n 2010 -l smallGrid` in cmd from assignemnt dir
 
 
@@ -35,14 +35,14 @@ The problem with those environments is that they have a large amount of unique s
  * where is nearest food
  * 'center of mass' of all food points (and variance, and whatever)
  * is there a wall in each direction
- * and anything else you see fit 
- 
+ * and anything else you see fit
+
 Here's how to get this information from [state](https://github.com/yandexdataschool/Practical_RL/blob/7a559f8/week03_model_free/seminar_py2/pacman.py#L49),
  * Get pacman position: [state.getPacmanPosition()](https://github.com/yandexdataschool/Practical_RL/blob/7a559f8/week03_model_free/seminar_py2/pacman.py#L128)
  * Is there a wall at (x,y)?: [state.hasWall(x,y)](https://github.com/yandexdataschool/Practical_RL/blob/7a559f8/week03_model_free/seminar_py2/pacman.py#L189)
  * Get ghost positions: [state.getGhostPositions()](https://github.com/yandexdataschool/Practical_RL/blob/7a559f8/week03_model_free/seminar_py2/pacman.py#L144)
  * Get all food positions: [state.getCapsules()](https://github.com/yandexdataschool/Practical_RL/blob/7a559f8/week03_model_free/seminar_py2/pacman.py#L153)
- 
+
 You can call those methods anywhere you see state.
  * e.g. in [agent.getValue(state)](https://github.com/yandexdataschool/Practical_RL/blob/7a559f8/week03_model_free/seminar_py2/qlearningAgents.py#L52)
  * Defining a function that extracts all features and calling it in [getQValue](https://github.com/yandexdataschool/Practical_RL/blob/7a559f8/week03_model_free/seminar_py2/qlearningAgents.py#L38) and [setQValue](https://github.com/yandexdataschool/Practical_RL/blob/7a559f8/week03_model_free/seminar_py2/qlearningAgents.py#L44) is probably enough.

week03_model_free/crawler_and_pacman/seminar_py3/README.md

@@ -1,13 +1,13 @@
 Contributors: [Vlad Lyalin](https://github.com/Guitaricet)
 
 # Disclaimer
-This assignment is not supported now. You can do it at your own risk. 
+This assignment is not supported now. You can do it at your own risk.
 
 # Requirements
 __Ubuntu__ - not tested
 
 __MacOS__ Python 3.7.0 (3.6, 3.8 and other cause on MacOS [problems](https://stackoverflow.com/questions/57400301/how-to-fix-tkinter-every-code-with-gui-crashes-mac-os-with-respring) with _Tkinter_)
- 
+
  Anaconda users just can create new_env:
  ```bash
  conda create -n pacman_env python=3.7.0
@@ -31,8 +31,8 @@ python pacman.py -p PacmanQAgent -x 5000 -n 5010 -l smallGrid # example
 ```
 * Make sure you can tune agent to beat ./run_crawler.sh
  * on windows, just run `python crawler.py` from cmd in the project directory
-* other ./run* files are mostly for your amusement. 
-  * ./run_pacman.sh will need more epochs to converge, see [comments](https://github.com/yandexdataschool/Practical_RL/blob/spring20/week03_model_free/crawler_and_pacman/seminar_py2/run_pacman.sh)
+* other ./run* files are mostly for your amusement.
+  * ./run_pacman.sh will need more epochs to converge, see [comments](https://github.com/yandexdataschool/Practical_RL/blob/master/week03_model_free/crawler_and_pacman/seminar_py2/run_pacman.sh)
   * on windows, just copy the type `python pacman.py -p PacmanQAgent -x 2000 -n 2010 -l smallGrid` in cmd from assignemnt dir
 
 
@@ -49,14 +49,14 @@ The problem with those environments is that they have a large amount of unique s
  * where is nearest food
  * 'center of mass' of all food points (and variance, and whatever)
  * is there a wall in each direction
- * and anything else you see fit 
- 
+ * and anything else you see fit
+
 Here's how to get this information from [state](https://github.com/yandexdataschool/Practical_RL/blob/7a559f8/week03_model_free/seminar_py2/pacman.py#L49),
  * Get pacman position: [state.getPacmanPosition()](https://github.com/yandexdataschool/Practical_RL/blob/7a559f8/week03_model_free/seminar_py2/pacman.py#L128)
  * Is there a wall at (x,y)?: [state.hasWall(x,y)](https://github.com/yandexdataschool/Practical_RL/blob/7a559f8/week03_model_free/seminar_py2/pacman.py#L189)
  * Get ghost positions: [state.getGhostPositions()](https://github.com/yandexdataschool/Practical_RL/blob/7a559f8/week03_model_free/seminar_py2/pacman.py#L144)
  * Get all food positions: [state.getCapsules()](https://github.com/yandexdataschool/Practical_RL/blob/7a559f8/week03_model_free/seminar_py2/pacman.py#L153)
- 
+
 You can call those methods anywhere you see state.
  * e.g. in [agent.getValue(state)](https://github.com/yandexdataschool/Practical_RL/blob/7a559f8/week03_model_free/seminar_py2/qlearningAgents.py#L52)
  * Defining a function that extracts all features and calling it in [getQValue](https://github.com/yandexdataschool/Practical_RL/blob/7a559f8/week03_model_free/seminar_py2/qlearningAgents.py#L38) and [setQValue](https://github.com/yandexdataschool/Practical_RL/blob/7a559f8/week03_model_free/seminar_py2/qlearningAgents.py#L44) is probably enough.