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Udemy - State-of-the-art Research of Deep Reinforcement-learning

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Udemy - State-of-the-art Research of Deep Reinforcement-learning (Size: 679 MB)
  001 Deep Reinforcement Learning for Dialogue Generation.mp4 49.9 MB
  001 Deep Reinforcement Learning for Dialogue Generation_en.vtt 2.2 KB
  001 Emergent Tool Use from Multi-Agent Interaction.mp4 33.9 MB
  001 Emergent Tool Use from Multi-Agent Interaction_en.vtt 1.6 KB
  001 NeuPL Neural Population Learning.mp4 30.9 MB
  001 NeuPL Neural Population Learning_en.vtt 1.4 KB
  001 Scalable Deep Reinforcement Learning Algorithms for Mean Field Games.mp4 33.1 MB
  001 Scalable Deep Reinforcement Learning Algorithms for Mean Field Games_en.vtt 1.3 KB
  002 Learning Dexterous In-Hand Manipulation.mp4 13.3 MB
  002 Learning Dexterous In-Hand Manipulation_en.vtt 512 B
  002 Learning more skills through optimistic exploration.mp4 31.8 MB
  002 Learning more skills through optimistic exploration_en.vtt 1.6 KB
  002 Value-Based Deep Reinforcement Learning Requires Explicit Regularization.mp4 40.9 MB
  002 Value-Based Deep Reinforcement Learning Requires Explicit Regularization_en.vtt 1.8 KB
  003 Deep Reinforcement Learning at the Edge of the Statistical Precipice.mp4 37.6 MB
  003 Deep Reinforcement Learning at the Edge of the Statistical Precipice_en.vtt 1.6 KB
  003 Emergent Complexity via Multi-Agent Competition.mp4 23.6 MB
  003 Emergent Complexity via Multi-Agent Competition_en.vtt 1 KB
  003 When should agents explore.mp4 26.7 MB
  003 When should agents explore_en.vtt 1.3 KB
  004 Exploration in Reinforcement Learning with Deep Covering Options.mp4 44.7 MB
  004 Exploration in Reinforcement Learning with Deep Covering Options_en.vtt 1.8 KB
  004 Parameter Space Noise for Exploration.mp4 21.4 MB
  004 Parameter Space Noise for Exploration_en.vtt 1 KB
  004 Recurrent Experience Reply in distributed Reinforcement-learning.mp4 33.7 MB
  004 Recurrent Experience Reply in distributed Reinforcement-learning_en.vtt 1.6 KB
  005 Maximum a Posteriori Policy Optimisation.mp4 22.7 MB
  005 Maximum a Posteriori Policy Optimisation_en.vtt 1.1 KB
  005 Proximal Policy Optimization Algorithms.mp4 55.1 MB
  005 Proximal Policy Optimization Algorithms_en.vtt 2.4 KB
  005 Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation.mp4 38.7 MB
  005 Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation_en.vtt 1.7 KB
  006 Evolution Strategies as a Scalable Alternative to Reinforcement Learning.mp4 42.6 MB
  006 Evolution Strategies as a Scalable Alternative to Reinforcement Learning_en.vtt 1.9 KB
  006 FollowNet Robot Navigation by Following Natural Language Directions with Deep R.mp4 28.3 MB
  006 FollowNet Robot Navigation by Following Natural Language Directions with Deep R_en.vtt 1.4 KB
  007 Interpolated Policy Gradient Merging On-Policy and Off-Policy Gradient Estimati.mp4 38.1 MB
  007 Interpolated Policy Gradient Merging On-Policy and Off-Policy Gradient Estimati_en.vtt 1.6 KB
  008 Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning.mp4 31.9 MB
  008 Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning_en.vtt 1.6 KB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 42 total files

Description


State-of-the-art Research of Deep Reinforcement-learning
https://DevCourseWeb.com

Published 06/2022
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 679 MB | Duration: 20 lectures • 30m

OpenAI research, DeepMind research, Google research, Microsoft research

What you'll learn
Get state-of-the-art knowledge of deep reinforcement-learning research
Be able to start deep reinforcement-learning research
Be able to get engineering job on deep reinforcement-learning
Be able to get research job on deep reinforcement-learning

Requirements
An interset on deep reinforcement-learning research
Description
Hello I am Nitsan Soffair, a Deep RL researcher at BGU.

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