Certificate in Advanced Reinforcement Learning Techniques

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The Certificate in Advanced Reinforcement Learning Techniques course is a comprehensive program designed to equip learners with the essential skills required to excel in the field of reinforcement learning. This course covers advanced techniques in reinforcement learning, including deep reinforcement learning, meta-learning, and multi-agent systems.

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With the rapid growth in artificial intelligence and machine learning, there is an increasing demand for professionals with expertise in reinforcement learning techniques. This course not only provides a solid foundation in these advanced techniques but also helps learners develop the practical skills necessary to apply them in real-world scenarios. By completing this course, learners will be able to demonstrate their mastery of advanced reinforcement learning techniques, making them highly valuable to potential employers and increasing their career advancement opportunities.

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โ€ข Advanced Reinforcement Learning Algorithms
โ€ข Deep Q-Networks (DQN) and Double DQN
โ€ข Policy Gradients and Actor-Critic Methods
โ€ข Proximal Policy Optimization (PPO) and Trust Region Policy Optimization (TRPO)
โ€ข Deep Deterministic Policy Gradient (DDPG)
โ€ข Soft Actor-Critic (SAC) and Twin Delayed DDPG (TD3)
โ€ข Monte Carlo Tree Search (MCTS) and AlphaGo
โ€ข Multi-Agent Reinforcement Learning (MARL) and Curriculum Learning

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CERTIFICATE IN ADVANCED REINFORCEMENT LEARNING TECHNIQUES
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London College of Foreign Trade (LCFT)
์ˆ˜์—ฌ์ผ
05 May 2025
๋ธ”๋ก์ฒด์ธ ID: s-1-a-2-m-3-p-4-l-5-e
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