Global Certificate in Impactful Reinforcement Learning Approaches
-- ViewingNowThe Global Certificate in Impactful Reinforcement Learning Approaches is a comprehensive course designed to equip learners with essential skills in reinforcement learning (RL), a critical area of artificial intelligence. This course emphasizes the practical application of RL concepts, enabling learners to design and implement effective RL solutions for real-world problems.
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โข Introduction to Reinforcement Learning à la Markov Decision Processes (MDPs)
โข Q-Learning and State-Action-Reward-State-Action (SARSA) methods
โข Deep Reinforcement Learning: DQN, DDQN, and Double DQN
โข Policy Gradients & Actor-Critic Methods: REINFORCE, A2C, and A3C
โข Deep Deterministic Policy Gradients (DDPG) & Proximal Policy Optimization (PPO)
โข Multi-Agent Reinforcement Learning (MARL): Independent Learning & Centralized Training
โข Exploration vs Exploitation trade-offs: Upper Confidence Bound (UCB), Thompson Sampling
โข Transfer Learning & Meta-Learning in Reinforcement Learning
โข Reinforcement Learning Applications: Robotics, NLP, Recommender Systems, and Control Theory
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