RL_Sutton&Barto_Python

Solutions and figures for problems from Reinforcement Learning: An Introduction by Dr. Sutton & Dr. Barto

Solved these problems as I went through the chapters in the book.
All of the coding was done as I learnt Python parallelly. So feel free to make code related suggestions as well.

Name		Name	Last commit message	Last commit date
Latest commit History 110 Commits
Bandit Problem		Bandit Problem
BatchUpdating_TDvsMC_Example6.3		BatchUpdating_TDvsMC_Example6.3
BatchUpdating_TDvsMC_Example6.4		BatchUpdating_TDvsMC_Example6.4
BlackJack_ImortanceSampling_Example5.4		BlackJack_ImortanceSampling_Example5.4
BlackJack_MonteCarlo_Sim		BlackJack_MonteCarlo_Sim
CoarseCoding_Example9.3		CoarseCoding_Example9.3
DynaQ_Maze_Example8.1		DynaQ_Maze_Example8.1
Gambler Problem		Gambler Problem
Gridworld Problem		Gridworld Problem
InfiniteVariance_Example5.5		InfiniteVariance_Example5.5
MaximizationBias_Example6.7		MaximizationBias_Example6.7
SarsaVsQLearning_CliffWalking_Example6.6		SarsaVsQLearning_CliffWalking_Example6.6
Sarsa_WindyGridworld_Example6.5		Sarsa_WindyGridworld_Example6.5
SemiGradientSARSA_MountainCar_Example10.1		SemiGradientSARSA_MountainCar_Example10.1
StateAggregation_GradientMC_Example9.1		StateAggregation_GradientMC_Example9.1
TDvsMC_RandomWalk_Example6.2		TDvsMC_RandomWalk_Example6.2
nStepTD_RandomWalk_Example7.1		nStepTD_RandomWalk_Example7.1
optimalPolicy_shortCorridor_Example13.1		optimalPolicy_shortCorridor_Example13.1
README.md		README.md