Josh Merel

55 papers A* 10C 1Misc 1Journal 34Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Fauna Sprout: A lightweight, approachable, developer-ready humanoid robot.
CoRR
Diego Aldarondo, Ana Pervan, Daniel Corbalan, Dave Petrillo, Bolun Dai, Aadhithya Iyer, Nina Mortensen, Erik Pearson, Sridhar Pandian Arunachalam, Emma Reznick, David Weis, Jacob Davison, Samuel Patterson, Tess Carella, Michael Suguitan, David Ye, Oswaldo Ferro, Nilesh Suriyarachchi, Spencer Ling, Erik Su, Daniel Giebisch, Peter Traver, Sam Fonseca, Mack Mor, Rohan Singh, Sertac Guven, Kangni Liu, Yaswanth Kumar Orru, Ashiq Rahman Anwar Batcha, Shruthi Ravindranath, Silky Arora, Hugo Ponte, Dez Hernandez, Utsav Chaudhary, Zack Walker, Michael Kelberman, Ivan Veloz, Christina Santa Lucia, Kat Casale, Helen Han, Michael Gromis, Michael Mignatti, Jason Reisman, Kelleher Guerin, Dario Narvaez, Christopher Anderson, Anthony Moschella, Robert Cochran, Josh Merel
2024 J jnl
Deep Dive into Model-free Reinforcement Learning for Biological and Robotic Systems: Theory and Practice.
CoRR
Yusheng Jiao, Feng Ling, Sina Heydari, Nicolas Heess, Josh Merel, Eva Kanso
2024 A* conf
Universal Humanoid Motion Representations for Physics-Based Control.
ICLR
Zhengyi Luo, Jinkun Cao, Josh Merel, Alexander Winkler, Jing Huang, Kris M. Kitani, Weipeng Xu
2024 A* conf
emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation.
NeurIPS
Sasha Salter, Richard Warren, Collin Schlager, Adrian Spurr, Shangchen Han, Rohin Bhasin, Yujun Cai, Peter Walkington, Anuoluwapo Bolarinwa, Robert Wang, Nathan Danielson, Josh Merel, Eftychios A. Pnevmatikakis, Jesse Marshall
2024 J jnl
emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation.
CoRR
Sasha Salter, Richard Warren, Collin Schlager, Adrian Spurr, Shangchen Han, Rohin Bhasin, Yujun Cai, Peter Walkington, Anuoluwapo Bolarinwa, Robert Wang, Nathan Danielson, Josh Merel, Eftychios A. Pnevmatikakis, Jesse Marshall
2023 J jnl
Universal Humanoid Motion Representations for Physics-Based Control.
CoRR
Zhengyi Luo, Jinkun Cao, Josh Merel, Alexander Winkler, Jing Huang, Kris Kitani, Weipeng Xu
2022 J jnl
Data augmentation for efficient learning from parametric experts.
CoRR
Alexandre Galashov, Josh Merel, Nicolas Heess
2022 A* conf
Evaluating Model-Based Planning and Planner Amortization for Continuous Control.
ICLR
Arunkumar Byravan, Leonard Hasenclever, Piotr Trochim, Mehdi Mirza, Alessandro Davide Ialongo, Yuval Tassa, Jost Tobias Springenberg, Abbas Abdolmaleki, Nicolas Heess, Josh Merel, Martin A. Riedmiller
2022 J jnl
From motor control to team play in simulated humanoid football.
Sci. Robotics
Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess
2022 J jnl
Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors.
CoRR
Steven Bohez, Saran Tunyasuvunakool, Philemon Brakel, Fereshteh Sadeghi, Leonard Hasenclever, Yuval Tassa, Emilio Parisotto, Jan Humplik, Tuomas Haarnoja, Roland Hafner, Markus Wulfmeier, Michael Neunert, Ben Moran, Noah Y. Siegel, Andrea Huber, Francesco Romano, Nathan Batchelor, Federico Casarini, Josh Merel, Raia Hadsell, Nicolas Heess
2022 A* conf
Learning transferable motor skills with hierarchical latent mixture policies.
ICLR
Dushyant Rao, Fereshteh Sadeghi, Leonard Hasenclever, Markus Wulfmeier, Martina Zambelli, Giulia Vezzani, Dhruva Tirumala, Yusuf Aytar, Josh Merel, Nicolas Heess, Raia Hadsell
2022 A* conf
NeuPL: Neural Population Learning.
ICLR
Siqi Liu, Luke Marris, Daniel Hennes, Josh Merel, Nicolas Heess, Thore Graepel
2022 J jnl
NeuPL: Neural Population Learning.
CoRR
Siqi Liu, Luke Marris, Daniel Hennes, Josh Merel, Nicolas Heess, Thore Graepel
2021 J jnl
Divergent representations of ethological visual inputs emerge from supervised, unsupervised, and reinforcement learning.
CoRR
Grace W. Lindsay, Josh Merel, Tom Mrsic-Flogel, Maneesh Sahani
2021 J jnl
Evaluating model-based planning and planner amortization for continuous control.
CoRR
Arunkumar Byravan, Leonard Hasenclever, Piotr Trochim, Mehdi Mirza, Alessandro Davide Ialongo, Yuval Tassa, Jost Tobias Springenberg, Abbas Abdolmaleki, Nicolas Heess, Josh Merel, Martin A. Riedmiller
2021 J jnl
From Motor Control to Team Play in Simulated Humanoid Football.
CoRR
Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess
2021 J jnl
Learning Dynamics Models for Model Predictive Agents.
CoRR
Michael Lutter, Leonard Hasenclever, Arunkumar Byravan, Gabriel Dulac-Arnold, Piotr Trochim, Nicolas Heess, Josh Merel, Yuval Tassa
2021 J jnl
Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies.
CoRR
Dushyant Rao, Fereshteh Sadeghi, Leonard Hasenclever, Markus Wulfmeier, Martina Zambelli, Giulia Vezzani, Dhruva Tirumala, Yusuf Aytar, Josh Merel, Nicolas Heess, Raia Hadsell
2021 — conf
MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand.
NeurIPS (Competition and Demos)
Vittorio Caggiano, Guillaume Durandau, Huawei Wang, Alberto Silvio Chiappa, Alexander Mathis, Pablo Tano, Nisheet Patel, Alexandre Pouget, Pierre Schumacher, Georg Martius, Daniel F. B. Haeufle, Yiran Geng, Boshi An, Yifan Zhong, Jiaming Ji, Yuanpei Chen, Hao Dong, Yaodong Yang, Rahul Siripurapu, Luis Eduardo Ferro Diez, Michael Kopp, Vihang Patil, Sepp Hochreiter, Yuval Tassa, Josh Merel, Randy Schultheis, Seungmoon Song, Massimo Sartori, Vikash Kumar
2020 J jnl
Catch & Carry: reusable neural controllers for vision-guided whole-body tasks.
ACM Trans. Graph.
Josh Merel, Saran Tunyasuvunakool, Arun Ahuja, Yuval Tassa, Leonard Hasenclever, Vu Pham, Tom Erez, Greg Wayne, Nicolas Heess
2020 A* conf
CoMic: Complementary Task Learning & Mimicry for Reusable Skills.
ICML
Leonard Hasenclever, Fabio Pardo, Raia Hadsell, Nicolas Heess, Josh Merel
2020 A* conf
Critic Regularized Regression.
NeurIPS
Ziyu Wang, Alexander Novikov, Konrad Zolna, Josh Merel, Jost Tobias Springenberg, Scott E. Reed, Bobak Shahriari, Noah Y. Siegel, Çaglar Gülçehre, Nicolas Heess, Nando de Freitas
2020 J jnl
Critic Regularized Regression.
CoRR
Ziyu Wang, Alexander Novikov, Konrad Zolna, Jost Tobias Springenberg, Scott E. Reed, Bobak Shahriari, Noah Y. Siegel, Josh Merel, Çaglar Gülçehre, Nicolas Heess, Nando de Freitas
2020 A* conf
Deep neuroethology of a virtual rodent.
ICLR
Josh Merel, Diego Aldarondo, Jesse Marshall, Yuval Tassa, Greg Wayne, Bence Olveczky
2020 J jnl
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning.
CoRR
Giambattista Parascandolo, Lars Buesing, Josh Merel, Leonard Hasenclever, John Aslanides, Jessica B. Hamrick, Nicolas Heess, Alexander Neitz, Theophane Weber
2020 J jnl
Learning to swim in potential flow.
CoRR
Yusheng Jiao, Feng Ling, Sina Heydari, Nicolas Heess, Josh Merel, Eva Kanso
2020 J jnl
Local Search for Policy Iteration in Continuous Control.
CoRR
Jost Tobias Springenberg, Nicolas Heess, Daniel J. Mankowitz, Josh Merel, Arunkumar Byravan, Abbas Abdolmaleki, Jackie Kay, Jonas Degrave, Julian Schrittwieser, Yuval Tassa, Jonas Buchli, Dan Belov, Martin A. Riedmiller
2020 A* conf
RL Unplugged: A Collection of Benchmarks for Offline Reinforcement Learning.
NeurIPS
Çaglar Gülçehre, Ziyu Wang, Alexander Novikov, Thomas Paine, Sergio Gómez Colmenarejo, Konrad Zolna, Rishabh Agarwal, Josh Merel, Daniel J. Mankowitz, Cosmin Paduraru, Gabriel Dulac-Arnold, Jerry Li, Mohammad Norouzi, Matthew Hoffman, Nicolas Heess, Nando de Freitas
2020 J jnl
RL Unplugged: Benchmarks for Offline Reinforcement Learning.
CoRR
Çaglar Gülçehre, Ziyu Wang, Alexander Novikov, Tom Le Paine, Sergio Gómez Colmenarejo, Konrad Zolna, Rishabh Agarwal, Josh Merel, Daniel J. Mankowitz, Cosmin Paduraru, Gabriel Dulac-Arnold, Jerry Li, Mohammad Norouzi, Matt Hoffman, Ofir Nachum, George Tucker, Nicolas Heess, Nando de Freitas
2020 J jnl
dm_control: Software and Tasks for Continuous Control.
CoRR
Yuval Tassa, Saran Tunyasuvunakool, Alistair Muldal, Yotam Doron, Siqi Liu, Steven Bohez, Josh Merel, Tom Erez, Timothy P. Lillicrap, Nicolas Heess
2020 J jnl
dm_control: Software and tasks for continuous control.
Softw. Impacts
Saran Tunyasuvunakool, Alistair Muldal, Yotam Doron, Siqi Liu, Steven Bohez, Josh Merel, Tom Erez, Timothy P. Lillicrap, Nicolas Heess, Yuval Tassa
2019 — conf
Emergent Coordination Through Competition.
ICLR (Poster)
Siqi Liu, Guy Lever, Josh Merel, Saran Tunyasuvunakool, Nicolas Heess, Thore Graepel
2019 J jnl
Emergent Coordination Through Competition.
CoRR
Siqi Liu, Guy Lever, Josh Merel, Saran Tunyasuvunakool, Nicolas Heess, Thore Graepel
2019 — conf
Hierarchical Visuomotor Control of Humanoids.
ICLR (Poster)
Josh Merel, Arun Ahuja, Vu Pham, Saran Tunyasuvunakool, Siqi Liu, Dhruva Tirumala, Nicolas Heess, Greg Wayne
2019 — conf
Neural Probabilistic Motor Primitives for Humanoid Control.
ICLR (Poster)
Josh Merel, Leonard Hasenclever, Alexandre Galashov, Arun Ahuja, Vu Pham, Greg Wayne, Yee Whye Teh, Nicolas Heess
2019 C conf
Reinforcement Learning Agents acquire Flocking and Symbiotic Behaviour in Simulated Ecosystems.
ALIFE
Peter Sunehag, Guy Lever, Siqi Liu, Josh Merel, Nicolas Heess, Joel Z. Leibo, Edward Hughes, Tom Eccles, Thore Graepel
2019 J jnl
Reusable neural skill embeddings for vision-guided whole body movement and object manipulation.
CoRR
Josh Merel, Saran Tunyasuvunakool, Arun Ahuja, Yuval Tassa, Leonard Hasenclever, Vu Pham, Tom Erez, Greg Wayne, Nicolas Heess
2018 J jnl
DeepMind Control Suite.
CoRR
Yuval Tassa, Yotam Doron, Alistair Muldal, Tom Erez, Yazhe Li, Diego de Las Casas, David Budden, Abbas Abdolmaleki, Josh Merel, Andrew Lefrancq, Timothy P. Lillicrap, Martin A. Riedmiller
2018 A* conf
Graph Networks as Learnable Physics Engines for Inference and Control.
ICML
Alvaro Sanchez-Gonzalez, Nicolas Heess, Jost Tobias Springenberg, Josh Merel, Martin A. Riedmiller, Raia Hadsell, Peter W. Battaglia
2018 J jnl
Graph networks as learnable physics engines for inference and control.
CoRR
Alvaro Sanchez-Gonzalez, Nicolas Heess, Jost Tobias Springenberg, Josh Merel, Martin A. Riedmiller, Raia Hadsell, Peter W. Battaglia
2018 J jnl
Hierarchical visuomotor control of humanoids.
CoRR
Josh Merel, Arun Ahuja, Vu Pham, Saran Tunyasuvunakool, Siqi Liu, Dhruva Tirumala, Nicolas Heess, Greg Wayne
2018 J jnl
Neural probabilistic motor primitives for humanoid control.
CoRR
Josh Merel, Leonard Hasenclever, Alexandre Galashov, Arun Ahuja, Vu Pham, Greg Wayne, Yee Whye Teh, Nicolas Heess
2018 — conf
Reinforcement and Imitation Learning for Diverse Visuomotor Skills.
Robotics: Science and Systems
Yuke Zhu, Ziyu Wang, Josh Merel, Andrei A. Rusu, Tom Erez, Serkan Cabi, Saran Tunyasuvunakool, János Kramár, Raia Hadsell, Nando de Freitas, Nicolas Heess
2018 J jnl
Reinforcement and Imitation Learning for Diverse Visuomotor Skills.
CoRR
Yuke Zhu, Ziyu Wang, Josh Merel, Andrei A. Rusu, Tom Erez, Serkan Cabi, Saran Tunyasuvunakool, János Kramár, Raia Hadsell, Nando de Freitas, Nicolas Heess
2017 J jnl
Emergence of Locomotion Behaviours in Rich Environments.
CoRR
Nicolas Heess, Dhruva TB, Srinivasan Sriram, Jay Lemmon, Josh Merel, Greg Wayne, Yuval Tassa, Tom Erez, Ziyu Wang, S. M. Ali Eslami, Martin A. Riedmiller, David Silver
2017 J jnl
Learning human behaviors from motion capture by adversarial imitation.
CoRR
Josh Merel, Yuval Tassa, Dhruva TB, Sriram Srinivasan, Jay Lemmon, Ziyu Wang, Greg Wayne, Nicolas Heess
2017 — conf
Multilayer Recurrent Network Models of Primate Retinal Ganglion Cell Responses.
ICLR (Poster)
Eleanor Batty, Josh Merel, Nora Brackbill, Alexander Heitman, Alexander Sher, Alan M. Litke, E. J. Chichilnisky, Liam Paninski
2017 — conf
Robust Imitation of Diverse Behaviors.
NIPS
Ziyu Wang, Josh Merel, Scott E. Reed, Nando de Freitas, Gregory Wayne, Nicolas Heess
2017 J jnl
Robust Imitation of Diverse Behaviors.
CoRR
Ziyu Wang, Josh Merel, Scott E. Reed, Greg Wayne, Nando de Freitas, Nicolas Heess
2016 J jnl
Neuroprosthetic Decoder Training as Imitation Learning.
PLoS Comput. Biol.
Josh Merel, David E. Carlson, Liam Paninski, John P. Cunningham
2015 J jnl
Encoder-Decoder Optimization for Brain-Computer Interfaces.
PLoS Comput. Biol.
Josh Merel, Donald M. Pianto, John P. Cunningham, Liam Paninski
2015 J jnl
Neuroprosthetic decoder training as imitation learning.
CoRR
Josh Merel, David E. Carlson, Liam Paninski, John P. Cunningham
2013 — conf
A multi-agent control framework for co-adaptation in brain-computer interfaces.
NIPS
Josh Merel, Roy Fox, Tony Jebara, Liam Paninski
2013 Misc conf
Bayesian spike inference from calcium imaging data.
ACSSC
Eftychios A. Pnevmatikakis, Josh Merel, Ari Pakman, Liam Paninski
2012 — conf
Decoding arm and hand movements across layers of the macaque frontal cortices.
EMBC
Yan Tat Wong, Mariana Vigeral, David Putrino, David Pfau, Josh Merel, Liam Paninski, Bijan Pesaran