Reinforcement Learning Notes
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appendix
alpha_k
average_reward_proof
contraction_mapping_theorem
convex_function
deterministic_policy_gradient_proof
expectation_variance_proof
fix_point_proof
gamma
optimal_baseline
policy_gradient_proof
poly_vs_fourier_basis
probability&matrix
sgd_convergence_pattern
trace_of_matrix
visualize_matrix
assets
draw
action.excalidraw
bellman_equation_example.excalidraw
bellman_equation_example1.excalidraw
contraction_mapping.excalidraw
convex_function
deterministic_policy.excalidraw
grid_world.excalidraw
index.excalidraw
MDP.excalidraw
reward_design.excalidraw
robbins-monro_model
state_transition.excalidraw
state_value_example.excalidraw
state.excalidraw
stochastic_policy.excalidraw
trajectory_return.excalidraw
trajectory_return1.excalidraw
vf_example
vf_function
vf_table_vs_func
concepts
AC A2C
AC DPG
AC off-policy
AC QAC
BE action value
BE Bellman Equation
BE state value
BOE Bellman Optimality Equation
BOE optimal policy
Concept action
Concept episode
Concept Markov Decision Process
Concept policy
Concept return
Concept reward
Concept state
Concept state transition
MC Basic
MC epsilon-greedy
MC example
MC Exploring Starts
PG idea
PG metric
PG metric gradient
PG REINFORCE
SA example
SA Robbins-Monro algorithm
SA Stochastic Gradient Descent
Stationary distribution
TD example
TD Qlearning
TD Sarsa
TD state values
VF DQN
VF example
VF Qlearning
VF Sarsa
VF state value
VI&PI policy iteration
VI&PI truncated policy iteration
VI&PI value iteration
01 Basic Concepts
02 Bellman Equation
03 Bellman Optimality Equation
04 Value Iteration & Policy Iteration
05 Monte Carlo Methods
06 Stochastic Approximation
07 Temporal-Difference Methods
08 Value Function Methods
09 Policy Gradient Methods
10 Actor-Critic Methods
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concepts
Folder: concepts
41 items under this folder.
Apr 01, 2025
PG metric
Apr 01, 2025
SA Robbins-Monro algorithm
Apr 01, 2025
SA Stochastic Gradient Descent
Apr 01, 2025
SA example
Apr 01, 2025
Stationary distribution
Apr 01, 2025
TD Qlearning
Apr 01, 2025
TD Sarsa
Apr 01, 2025
TD example
Apr 01, 2025
TD state values
Apr 01, 2025
VF DQN
Apr 01, 2025
VF Qlearning
Apr 01, 2025
VF Sarsa
Apr 01, 2025
VF example
Apr 01, 2025
VF state value
Apr 01, 2025
VI&PI policy iteration
Apr 01, 2025
VI&PI truncated policy iteration
Apr 01, 2025
VI&PI value iteration
Apr 01, 2025
AC DPG
Apr 01, 2025
AC QAC
Apr 01, 2025
AC off-policy
Apr 01, 2025
BE Bellman Equation
Apr 01, 2025
BE action value
Apr 01, 2025
BE state value
Apr 01, 2025
BOE Bellman Optimality Equation
Apr 01, 2025
BOE optimal policy
Apr 01, 2025
Concept Markov Decision Process
Apr 01, 2025
Concept action
Apr 01, 2025
Concept episode
Apr 01, 2025
Concept policy
Apr 01, 2025
Concept return
Apr 01, 2025
Concept reward
Apr 01, 2025
Concept state transition
Apr 01, 2025
Concept state
Apr 01, 2025
MC Basic
Apr 01, 2025
MC Exploring Starts
Apr 01, 2025
MC epsilon-greedy
Apr 01, 2025
MC example
Apr 01, 2025
PG REINFORCE
Apr 01, 2025
PG idea
Apr 01, 2025
PG metric gradient
Apr 01, 2025
AC A2C