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#Imitation Learning

Showing: 43 courses
Stanford University

Robot Learning in the Era of Large Pretrained Models - Stanford Seminar

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Exploring interactive robot learning with large pretrained models, focusing on visual representations, data collection strategies, and leveraging language models for robotics applications.
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1 Lesons
56 minutes
On-Demand
Free-Video
Massachusetts Institute of Technology

On Building General, Zero-Shot Robot Policies - EI Seminar

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Explore the development of zero-shot robot policies for real-world tasks. Gain insights into Robot Utility Models (RUMs) and their ability to generalize to new environments without finetuning, achieving 90% success in novel settings.
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1 Lesons
54 minutes
On-Demand
Free-Video
Santa Fe Institute

Imitation Versus Innovation - What Children Can Do That Large Language Models Can't

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Explore the unique cognitive abilities of children in comparison to AI language models, focusing on imitation and innovation in learning and problem-solving processes.
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1 Lesons
33 minutes
On-Demand
Free-Video
University of Central Florida

One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning

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Learn domain-adaptive meta-learning for one-shot imitation, enabling robots to quickly learn new tasks by observing human demonstrations and adapting across domains.
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16 Lesons
30 minutes
On-Demand
Free-Video
Simons Institute

Generalization in Robotic Behavior Cloning: Pitfalls and Promises

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Explore challenges and solutions in robotic behavior cloning, focusing on generalization in continuous state/action spaces. Gain insights into frameworks enabling agents to imitate complex behaviors with provable guarantees.
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1 Lesons
53 minutes
On-Demand
Free-Video
Institute for Advanced Study

Efficient Robot Skill Learning via Grounded Simulation Learning, Imitation Learning - Peter Stone

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Explore efficient robot skill learning through grounded simulation, imitation learning, and off-policy reinforcement learning. Discover innovative approaches for transferring skills from simulation to real-world robots.
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20 Lesons
1 hour 12 minutes
On-Demand
Free-Video
Simons Institute

What Does It Take to Be a Good Fisherman?

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Explore statistical challenges in learning from biased data, focusing on self-selection issues in various fields and discussing recent progress in econometric modeling and auction theory.
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17 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Paul G. Allen School

Updates from NVIDIA's Seattle Robotics Lab - Task and Motion Planning, Visuomotor Transformers, and Fine-grained Robot Manipulation

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Explore cutting-edge robotics research from NVIDIA's Seattle lab, covering task and motion planning, visuomotor transformers, and fine-grained manipulation techniques for advanced robotic applications.
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1 Lesons
55 minutes
On-Demand
Free-Video
Paul G. Allen School

Scaling Probabilistically Safe Learning to Robotics

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Explores advancements in safe robot learning, focusing on imitation learning theory, scalable reward inference, and efficient policy evaluation to enable real-world deployment with safety guarantees.
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1 Lesons
57 minutes
On-Demand
Free-Video
Paul G. Allen School

Interactive Imitation Learning - Planning Alongside Humans

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Explore interactive imitation learning for robots to adapt to human preferences, focusing on challenges beyond dataset collection and enabling seamless human-robot collaboration in real-world scenarios.
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1 Lesons
57 minutes
On-Demand
Free-Video
HuggingFace

HumanPlus and MobileAloha - Humanoid Shadowing and Bimanual Mobile Manipulation - Tech Talk 6

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Exploración de HumanPlus y MobileAloha: avances en robótica humanoide e imitación de movimientos humanos para manipulación bimano móvil y teleoperación de bajo costo.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
HuggingFace

ALOHA and ACT: Advancing Robot Learning - Research Presentation 1

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Explore ALOHA and ACT methodologies for robotic learning, presented by Alexander Soare. Gain insights into cutting-edge research and advancements in robot manipulation techniques.
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1 Lesons
56 minutes
On-Demand
Free-Video
RWTH Center for Artificial Intelligence

Robots Learning Through Interaction

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Explore robot learning through interaction, covering supervised, imitation, reinforcement, and interactive learning methods. Gain insights into motor skill acquisition and human-robot collaboration.
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1 Lesons
40 minutes
On-Demand
Free-Video
Montreal Robotics

Generalizable Robotic Agents Through Large-Scale Simulation

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Explore how large-scale simulation training produces proficient robotic agents capable of real-world navigation and manipulation using only RGB sensors, guided by language instructions.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Montreal Robotics

Learning Abstractions from Humans for Generalizable Robot Learning

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Explore methods for integrating human knowledge into robot learning abstractions, focusing on feedback as a prior, personalized interface, and framework for user-aligned reward functions.
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1 Lesons
1 hour
On-Demand
Free-Video
Montreal Robotics

Data-Driven Fine Manipulation: Pushing Boundaries in Robotic Precision

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Explore data-driven solutions for fine robotic manipulation, enabling low-cost hardware to perform intricate tasks with superhuman precision using imitation and reinforcement learning techniques.
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1 Lesons
58 minutes
On-Demand
Free-Video
Discover AI

Strategic Deviations in Multi-Agent Imitation Learning: From Value Optimization to Regret Analysis

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Delve into the complex dynamics of multi-agent AI systems, exploring strategic deviations, regret gaps, and equilibrium concepts in imitation learning through practical applications and mathematical frameworks.
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8 Lesons
38 minutes
On-Demand
Free-Video
Discover AI

Behavior Cloning and Residual Reinforcement Learning for Visual Assembly

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Explore advanced imitation learning techniques combining behavior cloning with reinforcement learning for autonomous robotic systems, focusing on precise visual assembly and sim-to-real transfer applications.
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1 Lesons
37 minutes
On-Demand
Free-Video
Discover AI

Adapting Image-based Reinforcement Learning Policies via Predicted Reward Fine-Tuning

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Explore groundbreaking research on Predicted Reward Fine-Tuning (PRFT), a novel approach solving domain shift challenges in image-based reinforcement learning and sim-to-real AI transfer.
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1 Lesons
16 minutes
On-Demand
Free-Video
Edan Meyer

This AI Learns from YouTube

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Explore OpenAI's innovative approach to training AI agents using YouTube videos, focusing on Minecraft gameplay and combining imitation learning with reinforcement learning techniques.
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11 Lesons
21 minutes
On-Demand
Free-Video
Yannic Kilcher

AMP- Adversarial Motion Priors for Stylized Physics-Based Character Control

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Explores adversarial imitation learning for physics-based character control, combining goal-achieving reinforcement learning with style imitation from motion datasets to produce realistic, task-oriented behaviors.
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7 Lesons
35 minutes
On-Demand
Free-Video
Bolei Zhou

Toward Generalizable Embodied AI for Machine Autonomy

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Explore recent advancements in machine autonomy, focusing on generalizable embodied AI through sequential decision-making, simulation environments, and human-AI collaboration.
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17 Lesons
56 minutes
On-Demand
Free-Video
Steve Brunton

Machine Learning - What Is Easy, Medium, and Hard?

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Explore the landscape of machine learning through case studies, examining easy, medium, and hard challenges while considering future possibilities and potential pitfalls.
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13 Lesons
39 minutes
On-Demand
Free-Video
Pascal Poupart

Imitation Learning

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Explore imitation learning techniques, from behavioral cloning to generative adversarial methods, with applications in autonomous driving and conversational agents.
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11 Lesons
30 minutes
On-Demand
Free-Video
Open Data Science

Alternatives to Reinforcement Learning for Real-World Problems

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Explore alternatives to Reinforcement Learning for real-world problems, focusing on Contextual Bandits and Imitation Learning. Learn their applications, limitations, and how they differ from full RL.
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36 Lesons
42 minutes
On-Demand
Free-Video
Simons Institute

Practical Model-Based Algorithms for Reinforcement Learning and Imitation Learning

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Explore efficient model-based algorithms for reinforcement and imitation learning, addressing challenges in learning dynamics and uncertainty, with practical examples and evaluations.
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14 Lesons
48 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Interpretable Machine Learning via Program Synthesis - IPAM at UCLA

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Explore interpretable machine learning through program synthesis, focusing on control policies and RNA splice prediction. Learn novel approaches for creating custom, problem-specific model families.
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27 Lesons
47 minutes
On-Demand
Free-Video
The Full Stack

Pieter Abbeel on Research Directions - Full Stack Deep Learning - November 2019

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Explore cutting-edge deep learning methods with Professor Pieter Abbeel, covering few-shot learning, reinforcement learning, imitation learning, domain randomization, architecture search, and unsupervised learning.
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24 Lesons
1 hour 43 minutes
On-Demand
Free-Video
Simons Institute

Generalization and Robustness in Offline Reinforcement Learning

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Explore offline reinforcement learning for safety-critical applications, covering generalization, robustness, and imitation learning in large-scale settings with rich function approximation.
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19 Lesons
54 minutes
On-Demand
Free-Video
Paul G. Allen School

Reinforcement Learning - Emma Brunskill - Stanford University

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Explore reinforcement learning fundamentals, applications, and challenges with Stanford's Emma Brunskill, covering AI planning, machine learning, and decision-making processes.
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19 Lesons
1 hour
On-Demand
Free-Video
Andreas Geiger

Learning Robust Policies for Self-Driving

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Explore robust policies for self-driving vehicles, covering TransFuser for sensor fusion, PlanT for learned planning, and KING for identifying critical scenarios in autonomous driving.
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26 Lesons
30 minutes
On-Demand
Free-Video
Andreas Geiger

Learning Robust Driving Policies

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Explore robust driving policies for autonomous vehicles, covering situational reasoning strategies and addressing covariate shift in imitation learning to improve generalization and safety in diverse conditions.
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25 Lesons
35 minutes
On-Demand
Free-Video
Alan Turing Institute

Geometry Aware Imitation Learning in Robotics

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Explores geometry-aware imitation learning for robots, enabling precise movement planning and skill acquisition from demonstrations. Discusses handling non-Euclidean data using differential geometry tools.
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1 Lesons
54 minutes
On-Demand
Free-Video
GDC

Successfully Use Deep Reinforcement Learning in Testing and NPC Development

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Explore deep reinforcement learning for game testing and NPC development, focusing on effective approaches, cost mitigation, and real-world applications in Unity projects.
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20 Lesons
31 minutes
On-Demand
Free-Video
Unity

Democratize Machine Learning - ML-Agents Explained

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Explore Unity ML-Agents: an open-source toolkit bridging Unity and machine learning. Learn about reinforcement and imitation learning techniques for innovative game development and AI applications.
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23 Lesons
42 minutes
On-Demand
Free-Video
MLCon | Machine Learning Conference

Human - AI Interaction Loop Training as a New Approach for Interactive Learning

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Explore a novel approach combining imitation learning with reinforcement learning methods, leveraging human feedback to enhance AI decision-making in complex environments.
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1 Lesons
39 minutes
On-Demand
Free-Video
Alexander Amini

Generalizable Autonomy for Robot Manipulation

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Explore generalizable autonomy in robot manipulation through imitation learning, visuo-motor policies, and reinforcement learning techniques. Discover innovative approaches for achieving adaptable and efficient robotic systems.
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13 Lesons
47 minutes
On-Demand
Free-Video
Paul G. Allen School

Tracing the Path to Self-adapting AI Agents

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Discover how Trace, a groundbreaking AutoDiff-like framework, enables end-to-end training of AI workflows using general feedback, revolutionizing how AI agents learn and adapt through Python-based implementation.
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1 Lesons
57 minutes
On-Demand
Free-Video
Discover AI

Multi-Agent AI Systems: From Imitation Learning to Markov Game Theory

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Explore advanced game theory concepts in multi-agent AI systems, covering investment strategies, cybersecurity applications, and the evolution from reinforcement learning to imitation learning frameworks.
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9 Lesons
36 minutes
On-Demand
Free-Video
Paul G. Allen School

Beyond Rules and Rewards: From Pixels to Adaptive Policies Through Imitation, Reinforcement, and Multimodal Learning

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Explore advanced robotic learning methodologies, from imitation-based training to multimodal systems, focusing on adaptive policies and vision-language models for enhanced real-world robot interactions.
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1 Lesons
59 minutes
On-Demand
Free-Video
Paul G. Allen School

Data-Driven Fine Manipulation in Robotics - 2024 Winter Robotics Colloquium

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Data-driven approaches for fine manipulation in robotics, enhancing precision and adaptability. Research focuses on empowering general-purpose hardware systems to automate delicate tasks using imitation learning and reinforcement learning techniques.
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1 Lesons
1 hour
On-Demand
Free-Video
Paul G. Allen School

Towards Long-Horizon Robot Task Learning

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Explore cutting-edge research on complex robot task learning, including simulation environments, hierarchical decomposition, and skill chaining for long-horizon tasks in robotics and AI.
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1 Lesons
1 hour
On-Demand
Free-Video
HuggingFace

Diffusion Policy - LeRobot Research Presentation 2

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Explore Diffusion Policy for robotic control with researcher Cheng Chi, covering innovative approaches to decision-making and action generation in complex environments.
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1 Lesons
1 hour
On-Demand
Free-Video