Alert button
Picture for Adam Stooke

Adam Stooke

Alert button

Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models

Feb 27, 2024
Rohit Prabhavalkar, Zhong Meng, Weiran Wang, Adam Stooke, Xingyu Cai, Yanzhang He, Arun Narayanan, Dongseong Hwang, Tara N. Sainath, Pedro J. Moreno

Viaarxiv icon

Massive End-to-end Models for Short Search Queries

Sep 22, 2023
Weiran Wang, Rohit Prabhavalkar, Dongseong Hwang, Qiujia Li, Khe Chai Sim, Bo Li, James Qin, Xingyu Cai, Adam Stooke, Zhong Meng, CJ Zheng, Yanzhang He, Tara Sainath, Pedro Moreno Mengibar

Figure 1 for Massive End-to-end Models for Short Search Queries
Figure 2 for Massive End-to-end Models for Short Search Queries
Figure 3 for Massive End-to-end Models for Short Search Queries
Figure 4 for Massive End-to-end Models for Short Search Queries
Viaarxiv icon

Open-Ended Learning Leads to Generally Capable Agents

Jul 31, 2021
Open Ended Learning Team, Adam Stooke, Anuj Mahajan, Catarina Barros, Charlie Deck, Jakob Bauer, Jakub Sygnowski, Maja Trebacz, Max Jaderberg, Michael Mathieu, Nat McAleese, Nathalie Bradley-Schmieg, Nathaniel Wong, Nicolas Porcel, Roberta Raileanu, Steph Hughes-Fitt, Valentin Dalibard, Wojciech Marian Czarnecki

Figure 1 for Open-Ended Learning Leads to Generally Capable Agents
Figure 2 for Open-Ended Learning Leads to Generally Capable Agents
Figure 3 for Open-Ended Learning Leads to Generally Capable Agents
Figure 4 for Open-Ended Learning Leads to Generally Capable Agents
Viaarxiv icon

Decoupling Representation Learning from Reinforcement Learning

Sep 30, 2020
Adam Stooke, Kimin Lee, Pieter Abbeel, Michael Laskin

Figure 1 for Decoupling Representation Learning from Reinforcement Learning
Figure 2 for Decoupling Representation Learning from Reinforcement Learning
Figure 3 for Decoupling Representation Learning from Reinforcement Learning
Figure 4 for Decoupling Representation Learning from Reinforcement Learning
Viaarxiv icon

Responsive Safety in Reinforcement Learning by PID Lagrangian Methods

Jul 08, 2020
Adam Stooke, Joshua Achiam, Pieter Abbeel

Figure 1 for Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Figure 2 for Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Figure 3 for Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Figure 4 for Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Viaarxiv icon

Perception-Prediction-Reaction Agents for Deep Reinforcement Learning

Jun 26, 2020
Adam Stooke, Valentin Dalibard, Siddhant M. Jayakumar, Wojciech M. Czarnecki, Max Jaderberg

Figure 1 for Perception-Prediction-Reaction Agents for Deep Reinforcement Learning
Figure 2 for Perception-Prediction-Reaction Agents for Deep Reinforcement Learning
Figure 3 for Perception-Prediction-Reaction Agents for Deep Reinforcement Learning
Figure 4 for Perception-Prediction-Reaction Agents for Deep Reinforcement Learning
Viaarxiv icon

Reinforcement Learning with Augmented Data

May 11, 2020
Michael Laskin, Kimin Lee, Adam Stooke, Lerrel Pinto, Pieter Abbeel, Aravind Srinivas

Figure 1 for Reinforcement Learning with Augmented Data
Figure 2 for Reinforcement Learning with Augmented Data
Figure 3 for Reinforcement Learning with Augmented Data
Figure 4 for Reinforcement Learning with Augmented Data
Viaarxiv icon