Brief Introduction to Reinforcement Learning
Monte Carlo value iteration (Basic RL algorithm )
TD method（Q-learning、Sarsa、N-step TD、TD（λ) )
DQN series algorithm （Deep Q-learning）
Actor-critic series algorithm
DDPG（Deep Deterministic Policy Gradient）、PPO2（ Proximal Policy Optimization）、SAC(Soft Actor-critic)
