Udemy State of The art Research of Deep Reinforcement learning
Posted on 01 Jul 21:27 | by AD-TEAM | 36 views
Udemy State of the art Research of Deep Reinforcement learning
Language: English
Files Type:mp4, vtt| Size:679 MB
Video:00:30:06 | 1280X720 | 3000 Kbps
Audio:mp4a-40-2 | 128 Kbps | AAC
Genre:eLearning
About :
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Videos Files :
001 Emergent Tool Use from Multi Agent Interaction.mp4 (33.85 MB)
002 Learning Dexterous In Hand Manipulation.mp4 (13.26 MB)
003 Emergent Complexity via Multi Agent Competition.mp4 (23.65 MB)
004 Parameter Space Noise for Exploration.mp4 (21.42 MB)
005 Proximal Policy Optimization Algorithms.mp4 (55.12 MB)
006 Evolution Strategies as a Scalable Alternative to Reinforcement Learning.mp4 (42.64 MB)
001 NeuPL Neural Population Learning.mp4 (30.93 MB)
002 Learning more skills through optimistic exploration.mp4 (31.81 MB)
003 When should agents explore.mp4 (26.68 MB)
004 Recurrent Experience Reply in distributed Reinforcement learning.mp4 (33.7 MB)
005 Maximum a Posteriori Policy Optimisation.mp4 (22.72 MB)
001 Scalable Deep Reinforcement Learning Algorithms for Mean Field Games.mp4 (33.06 MB)
002 Value Based Deep Reinforcement Learning Requires Explicit Regularization.mp4 (40.89 MB)
003 Deep Reinforcement Learning at the Edge of the Statistical Precipice.mp4 (37.61 MB)
004 Exploration in Reinforcement Learning with Deep Covering Options.mp4 (44.69 MB)
005 Scalable Deep Reinforcement Learning for Vision Based Robotic Manipulation.mp4 (38.69 MB)
006 FollowNet Robot Navigation by Following Natural Language Directions with Deep R.mp4 (28.35 MB)
007 Interpolated Policy Gradient Merging On Policy and Off Policy Gradient Estimati.mp4 (38.1 MB)
008 Zero Shot Task Generalization with Multi Task Deep Reinforcement Learning.mp4 (31.87 MB)
001 Deep Reinforcement Learning for Dialogue Generation.mp4 (49.91 MB)
002 Learning Dexterous In Hand Manipulation.mp4 (13.26 MB)
003 Emergent Complexity via Multi Agent Competition.mp4 (23.65 MB)
004 Parameter Space Noise for Exploration.mp4 (21.42 MB)
005 Proximal Policy Optimization Algorithms.mp4 (55.12 MB)
006 Evolution Strategies as a Scalable Alternative to Reinforcement Learning.mp4 (42.64 MB)
001 NeuPL Neural Population Learning.mp4 (30.93 MB)
002 Learning more skills through optimistic exploration.mp4 (31.81 MB)
003 When should agents explore.mp4 (26.68 MB)
004 Recurrent Experience Reply in distributed Reinforcement learning.mp4 (33.7 MB)
005 Maximum a Posteriori Policy Optimisation.mp4 (22.72 MB)
001 Scalable Deep Reinforcement Learning Algorithms for Mean Field Games.mp4 (33.06 MB)
002 Value Based Deep Reinforcement Learning Requires Explicit Regularization.mp4 (40.89 MB)
003 Deep Reinforcement Learning at the Edge of the Statistical Precipice.mp4 (37.61 MB)
004 Exploration in Reinforcement Learning with Deep Covering Options.mp4 (44.69 MB)
005 Scalable Deep Reinforcement Learning for Vision Based Robotic Manipulation.mp4 (38.69 MB)
006 FollowNet Robot Navigation by Following Natural Language Directions with Deep R.mp4 (28.35 MB)
007 Interpolated Policy Gradient Merging On Policy and Off Policy Gradient Estimati.mp4 (38.1 MB)
008 Zero Shot Task Generalization with Multi Task Deep Reinforcement Learning.mp4 (31.87 MB)
001 Deep Reinforcement Learning for Dialogue Generation.mp4 (49.91 MB)
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