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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
 
 

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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.

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

Topics

reinforcement-learning qlearning mountain-car sarsa gradient-descent feature-engineering bandit-algorithm sutton-gambler sutton-book dynaq sutton-gridworld blackjack-montecarlo batch-update maximization-bias infinite-variance rl-sutton semi-gradient-sarsa short-corridor optimal-policy

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