Alert button
Picture for Arunkumar Byravan

Arunkumar Byravan

Alert button

Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning

Add code
Bookmark button
Alert button
May 03, 2024
Dhruva Tirumala, Markus Wulfmeier, Ben Moran, Sandy Huang, Jan Humplik, Guy Lever, Tuomas Haarnoja, Leonard Hasenclever, Arunkumar Byravan, Nathan Batchelor, Neil Sreendra, Kushal Patel, Marlon Gwira, Francesco Nori, Martin Riedmiller, Nicolas Heess

Figure 1 for Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning
Figure 2 for Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning
Figure 3 for Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning
Figure 4 for Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning
Viaarxiv icon

Real-World Fluid Directed Rigid Body Control via Deep Reinforcement Learning

Add code
Bookmark button
Alert button
Feb 08, 2024
Mohak Bhardwaj, Thomas Lampe, Michael Neunert, Francesco Romano, Abbas Abdolmaleki, Arunkumar Byravan, Markus Wulfmeier, Martin Riedmiller, Jonas Buchli

Viaarxiv icon

Foundations for Transfer in Reinforcement Learning: A Taxonomy of Knowledge Modalities

Add code
Bookmark button
Alert button
Dec 04, 2023
Markus Wulfmeier, Arunkumar Byravan, Sarah Bechtle, Karol Hausman, Nicolas Heess

Viaarxiv icon

Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning

Add code
Bookmark button
Alert button
Sep 14, 2023
Cristina Pinneri, Sarah Bechtle, Markus Wulfmeier, Arunkumar Byravan, Jingwei Zhang, William F. Whitney, Martin Riedmiller

Figure 1 for Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning
Figure 2 for Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning
Figure 3 for Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning
Figure 4 for Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning
Viaarxiv icon

Towards A Unified Agent with Foundation Models

Add code
Bookmark button
Alert button
Jul 18, 2023
Norman Di Palo, Arunkumar Byravan, Leonard Hasenclever, Markus Wulfmeier, Nicolas Heess, Martin Riedmiller

Figure 1 for Towards A Unified Agent with Foundation Models
Figure 2 for Towards A Unified Agent with Foundation Models
Figure 3 for Towards A Unified Agent with Foundation Models
Figure 4 for Towards A Unified Agent with Foundation Models
Viaarxiv icon

A Generalist Dynamics Model for Control

Add code
Bookmark button
Alert button
May 18, 2023
Ingmar Schubert, Jingwei Zhang, Jake Bruce, Sarah Bechtle, Emilio Parisotto, Martin Riedmiller, Jost Tobias Springenberg, Arunkumar Byravan, Leonard Hasenclever, Nicolas Heess

Figure 1 for A Generalist Dynamics Model for Control
Figure 2 for A Generalist Dynamics Model for Control
Figure 3 for A Generalist Dynamics Model for Control
Figure 4 for A Generalist Dynamics Model for Control
Viaarxiv icon

Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning

Add code
Bookmark button
Alert button
Apr 26, 2023
Tuomas Haarnoja, Ben Moran, Guy Lever, Sandy H. Huang, Dhruva Tirumala, Markus Wulfmeier, Jan Humplik, Saran Tunyasuvunakool, Noah Y. Siegel, Roland Hafner, Michael Bloesch, Kristian Hartikainen, Arunkumar Byravan, Leonard Hasenclever, Yuval Tassa, Fereshteh Sadeghi, Nathan Batchelor, Federico Casarini, Stefano Saliceti, Charles Game, Neil Sreendra, Kushal Patel, Marlon Gwira, Andrea Huber, Nicole Hurley, Francesco Nori, Raia Hadsell, Nicolas Heess

Figure 1 for Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
Figure 2 for Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
Figure 3 for Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
Figure 4 for Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
Viaarxiv icon

Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains

Add code
Bookmark button
Alert button
Feb 24, 2023
Jingwei Zhang, Jost Tobias Springenberg, Arunkumar Byravan, Leonard Hasenclever, Abbas Abdolmaleki, Dushyant Rao, Nicolas Heess, Martin Riedmiller

Figure 1 for Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains
Figure 2 for Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains
Figure 3 for Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains
Figure 4 for Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains
Viaarxiv icon

NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields

Add code
Bookmark button
Alert button
Oct 10, 2022
Arunkumar Byravan, Jan Humplik, Leonard Hasenclever, Arthur Brussee, Francesco Nori, Tuomas Haarnoja, Ben Moran, Steven Bohez, Fereshteh Sadeghi, Bojan Vujatovic, Nicolas Heess

Figure 1 for NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields
Figure 2 for NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields
Figure 3 for NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields
Figure 4 for NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields
Viaarxiv icon

Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach

Add code
Bookmark button
Alert button
Apr 22, 2022
Bobak Shahriari, Abbas Abdolmaleki, Arunkumar Byravan, Abe Friesen, Siqi Liu, Jost Tobias Springenberg, Nicolas Heess, Matt Hoffman, Martin Riedmiller

Figure 1 for Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach
Figure 2 for Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach
Figure 3 for Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach
Figure 4 for Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach
Viaarxiv icon