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Introduction to Reinforcement Learning
Mathematical and Algorithmic understanding of Reinforcement Learning
Coding the Environment and MDP Solution
Temporal Difference Learning, SARSA, and Q Learning
Q Learning in Code
Introduction to Deep Learning
Implementation Resources
Deep Q Network (DQN), Double DQN and Dueling DQN
Double DQN in Code
Policy-Based Reinforcement Learning Approaches
Actor-Critic Models & the A3C
A3C in Code
Deterministic Policy Gradient and the DDPG
DDPG in Code.

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