Professional Certificate in Robotics: Reinforcement Learning Strategies
-- ViewingNowThe Professional Certificate in Robotics: Reinforcement Learning Strategies is a crucial course for those interested in the cutting-edge field of robotics. This program teaches learners how to design and implement reinforcement learning algorithms, which enable robots to learn from their experiences and make informed decisions.
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โข Unit 1: Introduction to Robotics and Reinforcement Learning
โข Unit 2: Markov Decision Processes (MDPs) and Dynamic Programming
โข Unit 3: Temporal Difference Learning and Q-Learning
โข Unit 4: Deep Reinforcement Learning: DQN and Double DQN
โข Unit 5: Policy Gradients and Actor-Critic Methods
โข Unit 6: Deep Deterministic Policy Gradient (DDPG)
โข Unit 7: Proximal Policy Optimization (PPO)
โข Unit 8: Monte Carlo Tree Search and AlphaGo
โข Unit 9: Transfer Learning and Multi-Agent Systems
โข Unit 10: Advanced Topics in Reinforcement Learning and Robotics
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