DRL Course | Разбор домашних заданий 4-6. Подведение итогов курса
Курс Deep Reinforcement Learning: Сезон курсов: Обсуждаем решения домашних заданий 1-3 и подводим итоги курса. Наши соц.сети: Telegram: Вконтакте: Featured playlist
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DRL Course | Практическое занятие 3. Policy Iteration
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DRL Course | Практическое занятие 4. Monte-Carlo and SARSA
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DRL Course | Практическое занятие 2. PyTorch and Deep Cross-Entropy Method.
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DRL Course | Практическое занятие 6. Deep Deterministic Policy Gradient (DDPG)
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DRL Course 2023 | Практическое занятие 3. Policy Iteration
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DRL Course 2023 |Dynamic Programming. Policy and Value Iterations
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DRL Course 2023 | Практическое занятие 2. PyTorch and Deep Cross-Entropy Method.
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DRL Course 2023 | Monte-Carlo and SARSA
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DRL Course 2023 | Практика 8. Multi-Armed Bandit
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DRL Course 2023 | Практика 7. Soft Actor-Critic (SAC)
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