Simple Overview: by Ruben Grandia, Diego Pardo and Jonas Buchli Abstract: In this work we present a new formulation for Nvidia presented parts of this work at GTC 2022, revealing our humanoid-quadruped transformer!

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by Ruben Grandia, Diego Pardo and Jonas Buchli Abstract: In this work we present a new formulation for Nvidia presented parts of this work at GTC 2022, revealing our humanoid-quadruped transformer!

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  • by Ruben Grandia, Diego Pardo and Jonas Buchli Abstract: In this work we present a new formulation for
  • Nvidia presented parts of this work at GTC 2022, revealing our humanoid-quadruped transformer!

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Advanced Skills by Learning Locomotion and Local Navigation End-to-End
Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning
RobotKeyframing: Learning Locomotion with High Level Objectives
Advanced Skills through Multiple Adversarial Motion Priors in Reinforcement Learning
RLHF Explained: How AI Models Learn Human Preferences
Multi-Expert Learning of Adaptive Legged Locomotion
Curiosity-Driven Learning of Joint Locomotion and Manipulation Tasks
Resilient Legged Local Navigation: Learning to Traverse with Compromised Perception End-to-End
Learning Robust Autonomous Navigation and Locomotion for Wheeled-legged Robots
Contact Invariant Model Learning for Legged Robot Locomotion
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Advanced Skills by Learning Locomotion and Local Navigation End-to-End

Advanced Skills by Learning Locomotion and Local Navigation End-to-End

Read more details and related context about Advanced Skills by Learning Locomotion and Local Navigation End-to-End.

Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning

Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning

Read more details and related context about Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning.

RobotKeyframing: Learning Locomotion with High Level Objectives

RobotKeyframing: Learning Locomotion with High Level Objectives

Read more details and related context about RobotKeyframing: Learning Locomotion with High Level Objectives.

Advanced Skills through Multiple Adversarial Motion Priors in Reinforcement Learning

Advanced Skills through Multiple Adversarial Motion Priors in Reinforcement Learning

Nvidia presented parts of this work at GTC 2022, revealing our humanoid-quadruped transformer! Title:

RLHF Explained: How AI Models Learn Human Preferences

RLHF Explained: How AI Models Learn Human Preferences

Read more details and related context about RLHF Explained: How AI Models Learn Human Preferences.

Multi-Expert Learning of Adaptive Legged Locomotion

Multi-Expert Learning of Adaptive Legged Locomotion

Read more details and related context about Multi-Expert Learning of Adaptive Legged Locomotion.

Curiosity-Driven Learning of Joint Locomotion and Manipulation Tasks

Curiosity-Driven Learning of Joint Locomotion and Manipulation Tasks

Read more details and related context about Curiosity-Driven Learning of Joint Locomotion and Manipulation Tasks.

Resilient Legged Local Navigation: Learning to Traverse with Compromised Perception End-to-End

Resilient Legged Local Navigation: Learning to Traverse with Compromised Perception End-to-End

Under review for: ICRA2024 Paper: WebPage: Jin Jin* and Chong ...

Learning Robust Autonomous Navigation and Locomotion for Wheeled-legged Robots

Learning Robust Autonomous Navigation and Locomotion for Wheeled-legged Robots

In our new Science Robotics paper, we introduce an autonomous

Contact Invariant Model Learning for Legged Robot Locomotion

Contact Invariant Model Learning for Legged Robot Locomotion

by Ruben Grandia, Diego Pardo and Jonas Buchli Abstract: In this work we present a new formulation for