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Reinforcement learning
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Classroom Contents
MDPs - Markov Decision Processes - Decision Making Under Uncertainty Using POMDPs.jl
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- 1 Intro
- 2 MDP definition
- 3 Grid World
- 4 State space
- 5 Action space
- 6 Transition function
- 7 Reward function
- 8 Discount factor
- 9 QuickPOMDPs
- 10 MDP solvers
- 11 RL solvers
- 12 Pluto notebook
- 13 Grid World environment
- 14 Grid World actions
- 15 Grid World transitions
- 16 Grid World rewards
- 17 Grid World discount
- 18 Grid World termination
- 19 Grid World MDP
- 20 Solutions (offline)
- 21 Value iteration
- 22 Transition probability distribution
- 23 Using the policy
- 24 Visualizations
- 25 Reinforcement learning
- 26 TD learning
- 27 Q-learning
- 28 SARSA
- 29 Solutions (online)
- 30 MCTS
- 31 MCTS visualization
- 32 Simulations
- 33 Extras
- 34 References
