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강화학습
강화학습
노트 편집 ↗
노트 40개
action-value function
reinforcement_learning
Actor–Critic Method
reinforcement_learning
advantage function
reinforcement_learning
asynchronous dynamic programming
reinforcement_learning
DP
Bellman Equation
reinforcement_learning
linear_algebra
Bellman optimality equation
reinforcement_learning
Deep Q-Network
reinforcement_learning
deep_learning
discount factor
reinforcement_learning
DP (Reinforcement Learning)
reinforcement_learning
dynamics
reinforcement_learning
epsilon-greedy algorithm
reinforcement_learning
algorithm
MAB
EXP3
reinforcement_learning
MAB
expected return
reinforcement_learning
Expected SARSA
reinforcement_learning
exploration
reinforcement_learning
Exploration and Exploitation trade-off
MAB
reinforcement_learning
Exploring Starts
reinforcement_learning
Incremental Implementation
reinforcement_learning
algorithm
Markov Chain
reinforcement_learning
probability_distribution
Markov Decision Process
reinforcement_learning
Markov property
reinforcement_learning
Markov Reward Process
reinforcement_learning
Monte Carlo Method(RL)
reinforcement_learning
partially observable Markov decision process
reinforcement_learning
policy
reinforcement_learning
policy evaluation
reinforcement_learning
Policy Gradient
reinforcement_learning
policy improvement
reinforcement_learning
policy iteration
reinforcement_learning
DP
Q-learning
reinforcement_learning
REINFORCE
reinforcement_learning
Reinforcement Learning
reinforcement_learning
MAB
S-MDP
reinforcement_learning
SARSA
reinforcement_learning
state-value function
reinforcement_learning
temporal difference
reinforcement_learning
UCB
MAB
reinforcement_learning
value function
reinforcement_learning
value iteration
reinforcement_learning
DP
value-based method
reinforcement_learning