Social And Emotional Learning Courses

Yannic Kilcher

Thinking While Moving - Deep Reinforcement Learning with Concurrent Control

Explore concurrent control in reinforcement learning, where agents make decisions while executing actions, revolutionizing robotic movement and decision-making processes.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Yannic Kilcher

Gradient Surgery for Multi-Task Learning

Explore PCGrad, a technique addressing gradient conflicts in multi-task learning, enhancing efficiency and performance in supervised and reinforcement learning scenarios.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Yannic Kilcher

Shortcut Learning in Deep Neural Networks

Explore deep neural networks' shortcut learning, its impact on AI generalization, and strategies to improve model robustness and real-world applicability.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

Yannic Kilcher

FixMatch - Simplifying Semi-Supervised Learning with Consistency and Confidence

Explore FixMatch, a powerful semi-supervised learning approach combining consistency regularization and pseudo-labeling for improved model performance with limited labeled data.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

Yannic Kilcher

Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery

Explore dynamical distance learning for reinforcement agents, enhancing policy learning through state distance estimation. Discover applications in semi-supervised and unsupervised skill acquisition.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Yannic Kilcher

CURL - Contrastive Unsupervised Representations for Reinforcement Learning

Explore how contrastive learning enhances reinforcement learning, improving performance in complex tasks using high-level features extracted from raw pixels.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Yannic Kilcher

POET - Endlessly Generating Increasingly Complex and Diverse Learning Environments and Solutions

Explore POET, an innovative algorithm that generates and solves increasingly complex challenges, fostering open-ended learning and diverse problem-solving capabilities through evolutionary methods and transfer learning.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Yannic Kilcher

Dream to Control - Learning Behaviors by Latent Imagination

Explore DeepMind's Dreamer, an innovative RL agent that learns complex behaviors through latent imagination, surpassing existing approaches in visual control tasks.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Yannic Kilcher

Deep Learning for Symbolic Mathematics

Explore neural networks solving complex mathematical problems like symbolic integration and differential equations, outperforming traditional Computer Algebra Systems.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

Yannic Kilcher

Reinforcement Learning Upside Down - Don't Predict Rewards, Just Map Them to Actions

Innovative approach to reinforcement learning that maps desired rewards to actions, transforming it into supervised learning. Shows promising performance compared to traditional RL algorithms.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Yannic Kilcher

AlphaStar - Grandmaster Level in StarCraft II Using Multi-Agent Reinforcement Learning

Explore DeepMind's AI agent achieving Grandmaster-level skill in StarCraft II through innovative multi-agent reinforcement learning and League Training techniques.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Yannic Kilcher

Accelerating Deep Learning by Focusing on the Biggest Losers

Explore a technique to speed up neural network training by prioritizing high-loss examples, reducing backpropagation steps, and achieving faster convergence in deep learning models.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Yannic Kilcher

Reinforcement Learning, Fast and Slow

Explores recent advancements in deep reinforcement learning, discussing techniques for faster learning and their potential implications for cognitive science and neuroscience.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

Yannic Kilcher

Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

Explores challenges in unsupervised learning of disentangled representations, questioning assumptions and efficacy of current approaches through theoretical analysis and extensive experiments.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Yannic Kilcher

Datasets for Data-Driven Reinforcement Learning

Explore offline reinforcement learning benchmarks and datasets for evaluating algorithms in various settings, including safety-critical tasks and learning from expert demonstrations.

• YouTube
• 20 minutes
• Self-Paced
• Free Video