GitHub repository: rdgreene/sa_tsp

Issues:
issue_23: state: open
title: Repeat experiments with a more complex problem
user: miguelesteras
issue_22: state: open
title: Add functionality for softmax state transition policy
user: miguelesteras
issue_21: state: open
title: Implement 'n-step' Temporal Difference
user: miguelesteras
issue_20: state: open
title: Implement 'double' Q-Learning
user: miguelesteras
issue_15: state: open
title: Repeat the experiment in with different
user: miguelesteras
issue_14: state: open
title: Repeat the experiment in with different
user: miguelesteras
issue_13: state: open
title: Repeat the experiment in with different
user: miguelesteras
issue_12: state: open
title: Repeat the experiment in with different gamma values
user: miguelesteras
issue_10: state: open
title: Represent performance vs. episodes
user: miguelesteras
issue_9: state: open
title: Set the parameter values for Q-learning
user: miguelesteras
issue_5: state: open
title: Set the original Q-matrix and show how it is updated in a learning episode
user: miguelesteras
issue_1: state: open
title: Review tsp.py and add code to plot results of parameter sweep 
user: rdgreene