Advanced Certificate in Reinforcement Learning Frameworks: Actionable Knowledge
-- ViewingNowThe Advanced Certificate in Reinforcement Learning Frameworks: Actionable Knowledge is a comprehensive course that focuses on the practical aspects of reinforcement learning, a subfield of artificial intelligence. This certification equips learners with essential skills to build and implement reinforcement learning frameworks in real-world scenarios, making them highly valuable in today's data-driven industry.
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⢠Introduction to Reinforcement Learning Frameworks
⢠Q-Learning and State-Action-Reward-Next State (SARSA)
⢠Deep Reinforcement Learning with Proximal Policy Optimization (PPO)
⢠Reinforcement Learning in Continuous Spaces with Deep Deterministic Policy Gradient (DDPG)
⢠Advanced Topics in Reinforcement Learning: Monte Carlo Tree Search (MCTS) and Rainbow
⢠Multi-Agent Reinforcement Learning: Independent Learning and Centralized Learning
⢠Reinforcement Learning Applications: Robotics and Control, Game Playing, and Recommender Systems
⢠Ethical Considerations in Reinforcement Learning
⢠Evaluation Metrics for Reinforcement Learning Frameworks
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