Learning agile soccer skills for a bipedal robot with deep reinforcement learning von Haarnoja, Tuomas, Moran, Ben, Lever, Guy, Huang, Sandy H, Tirumala, Dhruva, Humplik, Jan, Wulfmeier, Markus, Tunyasuvunakool, Saran, Siegel, Noah Y, Hafner, Roland, Bloesch, Michael, Hartikainen, Kristian, Byravan, Arunkumar, Hasenclever, Leonard, Tassa, Yuval, Sadeghi, Fereshteh, Batchelor, Nathan, Casarini, Federico, Saliceti, Stefano, Game, Charles, Sreendra, Neil, Patel, Kushal, Gwira, Marlon, Huber, Andrea, Hurley, Nicole, Nori, Francesco, Hadsell, Raia, Heess, Nicolas

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Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning von Di Palo, Norman, Hasenclever, Leonard, Humplik, Jan, Byravan, Arunkumar

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Foundations for Transfer in Reinforcement Learning: A Taxonomy of Knowledge Modalities von Wulfmeier, Markus, Byravan, Arunkumar, Bechtle, Sarah, Hausman, Karol, Heess, Nicolas

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Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning von Pinneri, Cristina, Bechtle, Sarah, Wulfmeier, Markus, Byravan, Arunkumar, Zhang, Jingwei, Whitney, William F, Riedmiller, Martin

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Towards A Unified Agent with Foundation Models von Di Palo, Norman, Byravan, Arunkumar, Hasenclever, Leonard, Wulfmeier, Markus, Heess, Nicolas, Riedmiller, Martin

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Real-World Fluid Directed Rigid Body Control via Deep Reinforcement Learning von Bhardwaj, Mohak, Lampe, Thomas, Neunert, Michael, Romano, Francesco, Abdolmaleki, Abbas, Byravan, Arunkumar, Wulfmeier, Markus, Riedmiller, Martin, Buchli, Jonas

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Motion-Nets: 6D Tracking of Unknown Objects in Unseen Environments using RGB von Leeb, Felix, Byravan, Arunkumar, Fox, Dieter

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SE3-Nets: Learning Rigid Body Motion using Deep Neural Networks von Byravan, Arunkumar, Fox, Dieter

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Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning von Norman Di Palo, Hasenclever, Leonard, Humplik, Jan, Byravan, Arunkumar

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Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains von Zhang, Jingwei, Springenberg, Jost Tobias, Byravan, Arunkumar, Hasenclever, Leonard, Abdolmaleki, Abbas, Rao, Dushyant, Heess, Nicolas, Riedmiller, Martin

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The Challenges of Exploration for Offline Reinforcement Learning von Lambert, Nathan, Wulfmeier, Markus, Whitney, William, Byravan, Arunkumar, Bloesch, Michael, Dasagi, Vibhavari, Hertweck, Tim, Riedmiller, Martin

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Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning von Tirumala, Dhruva, Wulfmeier, Markus, Moran, Ben, Huang, Sandy, Humplik, Jan, Lever, Guy, Haarnoja, Tuomas, Hasenclever, Leonard, Byravan, Arunkumar, Batchelor, Nathan, Sreendra, Neil, Patel, Kushal, Gwira, Marlon, Nori, Francesco, Riedmiller, Martin, Heess, Nicolas

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Foundations for Transfer in Reinforcement Learning: A Taxonomy of Knowledge Modalities von Wulfmeier, Markus, Byravan, Arunkumar, Bechtle, Sarah, Hausman, Karol, Heess, Nicolas

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A Generalist Dynamics Model for Control von Schubert, Ingmar, Zhang, Jingwei, Bruce, Jake, Bechtle, Sarah, Parisotto, Emilio, Riedmiller, Martin, Springenberg, Jost Tobias, Byravan, Arunkumar, Hasenclever, Leonard, Heess, Nicolas

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Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach von Shahriari, Bobak, Abdolmaleki, Abbas, Byravan, Arunkumar, Friesen, Abe, Liu, Siqi, Springenberg, Jost Tobias, Heess, Nicolas, Hoffman, Matt, Riedmiller, Martin

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NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields von Byravan, Arunkumar, Humplik, Jan, Hasenclever, Leonard, Brussee, Arthur, Nori, Francesco, Haarnoja, Tuomas, Moran, Ben, Bohez, Steven, Sadeghi, Fereshteh, Vujatovic, Bojan, Heess, Nicolas

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Prospection: Interpretable Plans From Language By Predicting the Future von Paxton, Chris, Bisk, Yonatan, Thomason, Jesse, Byravan, Arunkumar, Fox, Dieter

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Learning Dynamics Models for Model Predictive Agents von Lutter, Michael, Hasenclever, Leonard, Byravan, Arunkumar, Dulac-Arnold, Gabriel, Trochim, Piotr, Heess, Nicolas, Merel, Josh, Tassa, Yuval

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Controlling agents using sub-goals generated by language model neural networks von Leonard Hasenclever, Markus Wulfmeier, Norman Di Palo, Martin Reidmiller, Nicolas Manfred Otto Heess, Arunkumar Byravan

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CONTROLLING AGENTS USING SUB-GOALS GENERATED BY LANGUAGE MODEL NEURAL NETWORKS von Heess, Nicolas Manfred Otto, Di Palo, Norman, Riedmiller, Martin, Byravan, Arunkumar, Hasenclever, Leonard, Wulfmeier, Markus

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