Feedback Driven Incremental Imitation Learning

Media Summary: In this paper, we utilize the current models of conditional variational autoencoders for the purpose of teaching a robot simple ... Task-Relevant Adversarial Imitation Learning ... learning based control which will cover reinforcement learning and

Feedback Driven Incremental Imitation Learning - Detailed Analysis & Overview

In this paper, we utilize the current models of conditional variational autoencoders for the purpose of teaching a robot simple ... Task-Relevant Adversarial Imitation Learning ... learning based control which will cover reinforcement learning and This video shows how a humanoid robot can In this second lecture, we look at the problem of Accepted for IEEE International Conference on Robotics and Automation 2025 arXiv Author list: ...

Hal Daume, University of Maryland at College Park Computational Challenges in Machine Efficient policy optimization is fundamental to solving real-world reinforcement Supplementary video with the experiments for my master thesis "Towards Corrective Deep

Photo Gallery

Feedback-Driven Incremental Imitation Learning Using Sequential VAE

Incremental Imitation Learning of Context-Dependent Motor Skills

Task-Relevant Adversarial Imitation Learning

CS 182: Lecture 14: Part 1: Imitation Learning

Robotic Imitation learning - Project SoftGrip

Incremental Learning of Gestures by Imitation in a Humanoid

Lecture 2: Feedback in Imitation Learning -- The Three Regimes of Covariate Shift

Feasibility-aware Imitation Learning from Observations through Hand-mounted Demonstration Interface

The Imitation Learning View of Structured Prediction

Core Concepts: Imitation Learning

Policy Optimization as Predictable Online Learning Problems: Imitation Learning and Beyond

Imitation Learning to Inform the Design of Computer Games

View Detailed Profile

Feedback-Driven Incremental Imitation Learning Using Sequential VAE

Feedback-Driven Incremental Imitation Learning Using Sequential VAE

In this paper, we utilize the current models of conditional variational autoencoders for the purpose of teaching a robot simple ...

Incremental Imitation Learning of Context-Dependent Motor Skills

Incremental Imitation Learning of Context-Dependent Motor Skills

This video is part of the paper:

Task-Relevant Adversarial Imitation Learning

Task-Relevant Adversarial Imitation Learning

Task-Relevant Adversarial Imitation Learning

CS 182: Lecture 14: Part 1: Imitation Learning

CS 182: Lecture 14: Part 1: Imitation Learning

... learning based control which will cover reinforcement learning and

Robotic Imitation learning - Project SoftGrip

Robotic Imitation learning - Project SoftGrip

A set of methodologies and machine

Incremental Learning of Gestures by Imitation in a Humanoid

Incremental Learning of Gestures by Imitation in a Humanoid

This video shows how a humanoid robot can

Lecture 2: Feedback in Imitation Learning -- The Three Regimes of Covariate Shift

Lecture 2: Feedback in Imitation Learning -- The Three Regimes of Covariate Shift

In this second lecture, we look at the problem of

Feasibility-aware Imitation Learning from Observations through Hand-mounted Demonstration Interface

Feasibility-aware Imitation Learning from Observations through Hand-mounted Demonstration Interface

Accepted for IEEE International Conference on Robotics and Automation 2025 arXiv https://arxiv.org/abs/2503.09018 Author list: ...

The Imitation Learning View of Structured Prediction

The Imitation Learning View of Structured Prediction

Hal Daume, University of Maryland at College Park Computational Challenges in Machine

Core Concepts: Imitation Learning

Core Concepts: Imitation Learning

We explore the concept of

Policy Optimization as Predictable Online Learning Problems: Imitation Learning and Beyond

Policy Optimization as Predictable Online Learning Problems: Imitation Learning and Beyond

Efficient policy optimization is fundamental to solving real-world reinforcement

Imitation Learning to Inform the Design of Computer Games

Imitation Learning to Inform the Design of Computer Games

Our method leverages a data-

Towards Corrective Deep Imitation Learning in Data Intensive Environments, Master Thesis experiments

Towards Corrective Deep Imitation Learning in Data Intensive Environments, Master Thesis experiments

Supplementary video with the experiments for my master thesis "Towards Corrective Deep