Executive Development Programme in Reinforcement Learning Strategies: Next-Gen
-- ViewingNowThe Executive Development Programme in Reinforcement Learning Strategies: Next-Gen certificate course is a comprehensive program designed to empower professionals with the essential skills required to excel in the rapidly evolving field of reinforcement learning. This course highlights the importance of reinforcement learning in shaping next-generation business strategies and decision-making processes.
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โข Introduction to Reinforcement Learning: Fundamentals, concepts, and principles.
โข Markov Decision Processes (MDPs): State transitions, rewards, and policy optimization.
โข Dynamic Programming: Value and policy iteration, Bellman equations.
โข Monte Carlo Methods: Simulation-based learning, first-visit and every-visit methods.
โข Temporal Difference Learning: Bootstrapping, SARSA, Q-learning.
โข Function Approximation: Neural networks, deep reinforcement learning.
โข Policy Gradients: REINFORCE, actor-critic methods, advantage functions.
โข Deep Reinforcement Learning: Deep Q-Networks (DQN), Double DQN, Dueling DQN.
โข Exploration vs Exploitation: Strategies, epsilon-greedy, Boltzmann exploration.
โข Multi-Agent Reinforcement Learning: Competitive and cooperative environments.
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