Federico Carnevale

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All published works

Action	Title	Year	Authors
+	Intra-agent speech permits zero-shot task acquisition	2022	Yan Chen Federico Carnevale Petko Georgiev Adam Santoro Aurelia Guy Alistair Muldal Chia‐Chun Hung Josh Abramson Timothy Lillicrap Gregory Wayne
+	Evaluating Multimodal Interactive Agents	2022	Josh Abramson Arun Ahuja Federico Carnevale Petko Georgiev Alex Goldin Alden Hung Jessica Landon Timothy Lillicrap Alistair Muldal Blake A. Richards
+	Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback	2022	Josh Abramson Arun Ahuja Federico Carnevale Petko Georgiev Alex Goldin Alden Hung Jessica Landon Jirka Lhotka Timothy Lillicrap Alistair Muldal
+ PDF Chat	Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning	2021	DeepMind Interactive Agents Team Josh Abramson Arun Ahuja Arthur Brussee Federico Carnevale Mary Cassin Felix Fischer Petko Georgiev Alex Goldin Tim Harley
+	Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning	2021	DeepMind Interactive Agents Team Josh Abramson Arun Ahuja Arthur Brussee Federico Carnevale Mary Cassin Felix R. Fischer Petko Georgiev Alex Goldin Mansi Gupta
+ PDF Chat	Imitating Interactive Intelligence	2020	Josh Abramson Arun Ahuja Iain Barr Arthur Brussee Federico Carnevale Mary Cassin Rachita Chhaparia Stephen R. L. Clark Bogdan Damoc Andrew Dudzik
+	Probing Emergent Semantics in Predictive Agents via Question Answering	2020	Abhishek Das Federico Carnevale Hamza Merzic Laura Rimell Rosalia Schneider Josh Abramson Alden Hung Arun Ahuja Stephen Clark Greg Wayne
+	Imitating Interactive Intelligence	2020	Josh Abramson Arun Ahuja Iain Barr Arthur Brussee Federico Carnevale Mary Cassin Rachita Chhaparia Stephen Clark Bogdan Damoc Andrew Dudzik
+ PDF Chat	Optimizing agent behavior over long time scales by transporting value	2019	Chia-Chun Hung Timothy Lillicrap Josh Abramson Yan Wu Mehdi Mirza Federico Carnevale Arun Ahuja Greg Wayne
+	Optimizing Agent Behavior over Long Time Scales by Transporting Value	2018	Chia-Chun Hung Timothy Lillicrap Josh Abramson Yan Wu Mehdi Mirza Federico Carnevale Arun Ahuja Greg Wayne
+	Optimizing Agent Behavior over Long Time Scales by Transporting Value	2018	Chia‐Chun Hung Timothy Lillicrap Josh Abramson Yan Wu Mehdi Mirza Federico Carnevale Arun Ahuja Greg Wayne

Common Coauthors

Coauthor	Papers Together
Josh Abramson	11
Greg Wayne	10
Timothy Lillicrap	10
Arun Ahuja	10
Adam Santoro	7
Petko Georgiev	7
Alden Hung	7
Alistair Muldal	7
Nathaniel Wong	6
Jessica Landon	6
Alex Goldin	4
Tamara von Glehn	4
Felix Hill	4
Mary Cassin	4
Arthur Brussee	4
Tim Harley	4
Guy Scully	3
Hamza Merzic	3
Aurelia Guy	3
Yan Wu	2
Chia‐Chun Hung	2
Rachita Chhaparia	2
Iain Barr	2
Soňa Mokrá	2
Mehdi Mirza	2
Nikolay Savinov	2
Vikrant Varma	2
Bogdan Damoc	2
Stephen Clark	2
Kory W. Mathewson	2
DeepMind Interactive Agents Team	2
Zachary Kenton	2
Duncan Williams	2
Peter C. Humphreys	2
Rui Zhu	2
Chia-Chun Hung	2
Chen Yan	2
Stephen R. L. Clark	1
Abhishek Das	1
Blake A. Richards	1
Yan Chen	1
Rui Zhu	1
Felix Fischer	1
George Powell	1
Sanjana Srivastava	1
Yan Chen	1
Yan Chen	1
Yan Chen	1
Yan Chen	1
Yan Wu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Asynchronous Methods for Deep Reinforcement Learning	2016	Volodymyr Mnih Adrià Puigdomènech Badia Mehdi Mirza Alex Graves Tim Harley Timothy Lillicrap David Silver Koray Kavukcuoglu	3
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+ PDF Chat	Speech recognition with deep recurrent neural networks	2013	Alex Graves Abdelrahman Mohamed Geoffrey E. Hinton	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	2
+ PDF Chat	Infinite-Horizon Policy-Gradient Estimation	2001	J. Baxter Peter L. Bartlett	2
+	Been There, Done That: Meta-Learning with Episodic Recall	2018	Samuel Ritter Jane X. Wang Zeb Kurth‐Nelson Siddhant M. Jayakumar Charles D. Blundell Razvan Pascanu Matthew Botvinick	2
+	Neural Machine Translation by Jointly Learning to Align and Translate	2015	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	2
+	Observational Learning by Reinforcement Learning	2017	Diana Borsa Bilal Piot Rémi Munos Olivier Pietquin	1
+	Learning human behaviors from motion capture by adversarial imitation	2017	Josh Merel Yuval Tassa Dhruva Tb Sriram Srinivasan Jay Lemmon Ziyu Wang Greg Wayne Nicolas Heess	1
+ PDF Chat	Embodied Question Answering	2018	Abhishek Das Samyak Datta Georgia Gkioxari Stefan Lee Devi Parikh Dhruv Batra	1
+	Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents	2018	Joel Z. Leibo Cyprien de Masson d’Autume Daniel Zoran Amos David Charles Beattie Keith Anderson Antonio García Castañeda Manuel E. Acacio Simon Green Audrūnas Gruslys	1
+	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures	2018	Lasse Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymir Mnih Tom Ward Yotam Doron Vlad Firoiu Tim Harley Iain Dunning	1
+	Unsupervised Predictive Memory in a Goal-Directed Agent	2018	Greg Wayne Chia-Chun Hung Amos David Mehdi Mirza Arun Ahuja Agnieszka Grabska‐Barwińska Jack W. Rae Piotr Mirowski Joel Z. Leibo Adam Santoro	1
+ PDF Chat	An Algorithmic Perspective on Imitation Learning	2018	Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters	1
+	Representation Learning with Contrastive Predictive Coding	2018	Aäron van den Oord Yazhe Li Oriol Vinyals	1
+	Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding	2018	Nan Rosemary Ke Anirudh Goyal Olexa Bilaniuk Jonathan Binas Michael C. Mozer Chris Pal Yoshua Bengio	1
+	Data-Efficient Image Recognition with Contrastive Predictive Coding	2019	Olivier J. Hénaff Aravind Srinivas Jeffrey De Fauw Ali Razavi Carl Doersch S. M. Ali Eslami Aäron van den Oord	1
+	Neural Turing Machines	2014	Alex Graves Greg Wayne Ivo Danihelka	1
+	Information asymmetry in KL-regularized RL	2019	Alexandre Galashov Siddhant M. Jayakumar Leonard Hasenclever Dhruva Tirumala Jonathan Schwarz Guillaume Desjardins Wojciech Marian Czarnecki Yee Whye Teh Razvan Pascanu Nicolas Heess	1
+	Recurrent World Models Facilitate Policy Evolution	2018	David Ha Jürgen Schmidhuber	1
+	Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps	2013	Karen Simonyan Andrea Vedaldi Andrew Zisserman	1
+	A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning	2010	Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell	1
+	Generative Adversarial Imitation Learning	2016	Jonathan Ho Stefano Ermon	1
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	1
+ PDF Chat	Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments	2018	Peter Anderson Qi Wu Damien Teney Jake Bruce Mark Johnson Niko Sünderhauf Ian Reid Stephen Jay Gould Anton van den Hengel	1
+	Self-Attention with Relative Position Representations	2018	Peter Shaw Jakob Uszkoreit Ashish Vaswani	1
+	Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding	2018	Nan Rosemary Ke Anirudh Goyal Olexa Bilaniuk Jonathan Binas Michael C. Mozer Chris Pal Yoshua Bengio	1
+	Hierarchical Decision Making by Generating and Following Natural Language Instructions	2019	Hengyuan Hu Denis Yarats Qucheng Gong Yuandong Tian Mike Lewis	1
+	Task-Relevant Adversarial Imitation Learning	2019	Konrad Żołna Scott Reed Alexander Novikov Sergio Gómez Colmenarejo David Budden Serkan Cabi Misha Denil Nando de Freitas Ziyu Wang	1
+	On the Measure of Intelligence.	2019	François Chollet	1
+ PDF Chat	TSM: Temporal Shift Module for Efficient Video Understanding	2019	Ji Lin Chuang Gan Song Han	1
+	Extending Machine Language Models toward Human-Level Language Understanding	2019	James L. McClelland Felix Hill Maja Rudolph Jason Baldridge Hinrich Schütze	1
+	Scaling Laws for Neural Language Models	2020	Jared Kaplan Sam McCandlish Tom Henighan T. B. Brown Benjamin Chess Rewon Child Scott Gray Alec Radford Jeffrey Wu Dario Amodei	1
+	Scaling data-driven robotics with reward sketching and batch reinforcement learning	2019	Serkan Cabi Sergio Gómez Colmenarejo Alexander Novikov Ksenia Konyushkova Scott Reed Rae Jeong Konrad Żołna Yusuf Aytar David Budden Mel Vecerík	1
+	Grounding Language in Play.	2020	Corey Lynch Pierre Sermanet	1
+	A Divergence Minimization Perspective on Imitation Learning Methods	2019	Seyed Kamyar Seyed Ghasemipour Richard S. Zemel Shixiang Gu	1
+	Language Models are Few-Shot Learners	2020	T. B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell	1
+	Word meaning in minds and machines	2020	Brenden M. Lake Gregory L. Murphy	1
+ PDF Chat	SAYCam: A Large, Longitudinal Audiovisual Dataset Recorded From the Infant’s Perspective	2021	Jessica Sullivan Michelle Mei Andrew Perfors Erica H. Wojcik Michael C. Frank	1
+	Using Unity to Help Solve Intelligence	2020	Tom Ward Andrew Bolt Nik Hemmings Simon Carter Manuel E. Acacio Ricardo Barreira Seb Noury Keith Anderson Jay Lemmon Jonathan Coe	1
+	High-Dimensional Continuous Control Using Generalized Advantage Estimation	2015	John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel	1
+ PDF Chat	The symbol grounding problem	1990	Stevan Harnad	1
+	Generating Sequences With Recurrent Neural Networks	2013	Alex Graves	1
+	Computing Machinery and Intelligence (1950)	2004	Alan Turing	1
+	A guide to convolution arithmetic for deep learning	2016	Vincent Dumoulin Francesco Visin	1
+	A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models	2016	Chelsea Finn Paul F. Christiano Pieter Abbeel Sergey Levine	1
+	Third-Person Imitation Learning	2017	Bradly C. Stadie Pieter Abbeel Ilya Sutskever	1
+	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	1
+	Grounded Language Learning in a Simulated 3D World	2017	Karl Moritz Hermann Felix Hill Simon Green Fumin Wang Ryan Faulkner Hubert Soyer David Szepesvari Wojciech Marian Czarnecki Max Jaderberg Denis Teplyashin	1