About: RLPy is a framework for performing reinforcement learning (RL) experiments in Python. RLPy provides a large library of agent and domain components, and a suite of tools to aid in experiments (parallelization, hyperparameter optimization, code profiling, and plotting).

• Fixed bug where results using same random seed were different with visualization turned on/off
• Created RLPy package on pypi (Available at https://pypi.python.org/pypi/rlpy)
• Switched from custom logger class to python default
• Added unit tests
• Code readability improvements (formatting, variable names/ordering)
• Restructured TD Learning heirarchy
• Updated tutorials