Josh Merel

发表

Bayesian spike inference from calcium imaging data

Liam Paninski, Eftychios A. Pnevmatikakis, Josh Merel, 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

Learning human behaviors from motion capture by adversarial imitation pdf

Yuval Tassa, Ziyu Wang, Nicolas Heess, 2017, ArXiv.

Decoding arm and hand movements across layers of the macaque frontal cortices

David Pfau, Bijan Pesaran, Yan Tat Wong, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Hierarchical visuomotor control of humanoids pdf

Nicolas Heess, Dhruva Tirumala, Arun Ahuja, 2018, ICLR.

Robust Imitation of Diverse Behaviors

Nando de Freitas, Ziyu Wang, Nicolas Heess, 2017, NIPS.

DeepMind Control Suite pdf

Yuval Tassa, Martin A. Riedmiller, Yazhe Li, 2018, ArXiv.

The statistics of contour fragments in natural scenes

Vijay Balasubramanian, Jason S. Prentice, Gašper Tkačik, 2011 .

Simultaneous Denoising, Deconvolution, and Demixing of Calcium Imaging Data

David Pfau, Daniel Soudry, Liam Paninski, 2016, Neuron.

Multilayer Recurrent Network Models of Primate Retinal Ganglion Cell Responses

Liam Paninski, Nora Brackbill, E. J. Chichilnisky, 2016, ICLR.

Neuroprosthetic Decoder Training as Imitation Learning

John P. Cunningham, David E. Carlson, Liam Paninski, 2015, PLoS Comput. Biol..

Reinforcement Learning Agents acquire Flocking and Symbiotic Behaviour in Simulated Ecosystems

Tom Eccles, Guy Lever, Joel Z. Leibo, 2019, Artificial Life Conference Proceedings.

Emergent Coordination Through Competition pdf

Guy Lever, Siqi Liu, Thore Graepel, 2019, ICLR.

Emergence of Locomotion Behaviours in Rich Environments pdf

Yuval Tassa, Martin A. Riedmiller, David Silver, 2017, ArXiv.

Reinforcement and Imitation Learning for Diverse Visuomotor Skills pdf

Nando de Freitas, Raia Hadsell, Yuke Zhu, 2018, Robotics: Science and Systems.

Reusable neural skill embeddings for vision-guided whole body movement and object manipulation pdf

Yuval Tassa, Nicolas Heess, Tom Erez, 2019, ArXiv.

Graph networks as learnable physics engines for inference and control pdf

Raia Hadsell, Martin A. Riedmiller, Jost Tobias Springenberg, 2018, ICML.

A multi-agent control framework for co-adaptation in brain-computer interfaces

Roy Fox, Liam Paninski, Tony Jebara, 2013, NIPS.

Encoder-Decoder Optimization for Brain-Computer Interfaces

John P. Cunningham, Liam Paninski, Donald M. Pianto, 2015, PLoS Comput. Biol..

Deep neuroethology of a virtual rodent

Yuval Tassa, Greg Wayne, Josh Merel, 2019, ICLR.

Neural probabilistic motor primitives for humanoid control pdf

Yee Whye Teh, Nicolas Heess, Alexandre Galashov, 2018, ICLR.

Bayesian methods for event analysis of intracellular currents

Liam Paninski, Hillel Adesnik, Josh Merel, 2016, Journal of Neuroscience Methods.

Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies pdf

Martina Zambelli, Raia Hadsell, Dushyant Rao, 2021, ArXiv.

From Motor Control to Team Play in Simulated Humanoid Football pdf

Yuval Tassa, Guy Lever, Thore Graepel, 2021, Sci. Robotics.

Divergent representations of ethological visual inputs emerge from supervised, unsupervised, and reinforcement learning pdf

Maneesh Sahani, Josh Merel, Grace W. Lindsay, 2021, ArXiv.

Evaluating model-based planning and planner amortization for continuous control pdf

Yuval Tassa, Alessandro Davide Ialongo, Martin A. Riedmiller, 2021, ICLR.

Learning Dynamics Models for Model Predictive Agents pdf

Yuval Tassa, Gabriel Dulac-Arnold, Nicolas Heess, 2021, ArXiv.

Spatiotemporal receptive fields of barrel cortex revealed by reverse correlation of synaptic input

Liam Paninski, Kenneth D. Miller, Randy M. Bruno, 2014, Nature Neuroscience.

dm_control: Software and Tasks for Continuous Control

Yuval Tassa, Steven Bohez, Nicolas Heess, 2020, Softw. Impacts.