Modeling Affect-based Intrinsic Rewards for Exploration and Learning Published 2020-11-05 Download video MP4 360p Recommendations 10:30 Why Neural Networks can learn (almost) anything 17:23 I Made a Neural Network with just Redstone! 27:47 Will NVIDIA Survive The Era of 1-Bit LLMs? 15:22 How Intelligence Evolved | A 600 million year story. 08:29 Google Data Center 360° Tour 20:18 Why Does Diffusion Work Better than Auto-Regression? 26:55 ChatGPT: 30 Year History | How AI Learned to Talk 15:28 What are Diffusion Models? 31:49 Впоратися з невидимим ворогом. Марк Волінн "Це почалося не з тебе" 18:05 How AI 'Understands' Images (CLIP) - Computerphile 43:00 The Mastermind Behind GPT-4 and the Future of AI | Ilya Sutskever 22:10 Unlock AI Agent real power?! Long term memory & Self improving 10:36 RODE 00:31 Unity Compute Shader 10:31 The U-Net (actually) explained in 10 minutes 43:32 Symbolic AGI: How the Natural Will Build the Formal 15:22 I Challenged AI to Create a Better YouTube Channel Than Me... Here's What Happened 15:03 7 Python Data Visualization Libraries in 15 minutes 34:48 The Unreasonable Effectiveness of JPEG: A Signal Processing Approach 24:11 Numeric Tensor Framework (Part 2) Similar videos 01:23 Exploration via flow-based intrinsic Rewards: Playing SuperMario Bros. with RL! 05:51 Societal Expectations and Inner Desires: The Complex Dynamics of Motivation 1:01:22 [Talk] Planning through Exploration and Exploitation in Model-based Reinforcement Learning 16:01 Reinforcement Learning with sparse rewards 1:03:43 On Intrinsic Rewards and Continual Learning 01:21 What’s the difference between Intrinsic Motivation and Extrinsic Motivation? 18:43 World Models 09:51 Curiosity driven Exploration in reinforcement learning explained 52:59 Reinforcement Learning 10: Extended methods 19:03 Go-Explore: a New Approach for Hard-Exploration Problems 35:49 Learning Fast with No Goals - VISR Explained 16:13 Xingrui Yu, Intrinsic Reward driven Imitation Learning via Generative Model 54:24 Towards Social and Affective Machine Learning, Natasha Jaques 14:28 Modeling intrinsic motivation in ACT-R 1:04:32 Prithviraj (Raj) Ammanabrolu - Modeling Worlds in Text 1:54:43 Reinforcement Learning Fast and Slow: Goal-Directed and Memory Retrieval Mechanism! 17:35 Curiosity-driven Exploration by Self-supervised Prediction 53:45 Towards a Theory for Sample-efficient Reinforcement Learning with Rich Observations 33:20 When should agents explore? | DeepMind research paper More results