#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning. - Haoran Tang; Rein Houthooft; Davis Foote; Adam Stooke; Xi Chen 022; Yan Duan; John Schulman; Filip De Turck; Pieter Abbeel (NIPS, 2017)

Synkhronos: a Multi-GPU Theano Extension for Data Parallelism. - Adam Stooke; Pieter Abbeel (CoRR, 2017)

Accelerated Methods for Deep Reinforcement Learning. - Adam Stooke; Pieter Abbeel (CoRR, 2018)

rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch. - Adam Stooke; Pieter Abbeel (CoRR, 2019)

Responsive Safety in Reinforcement Learning by PID Lagrangian Methods. - Adam Stooke; Joshua Achiam; Pieter Abbeel (ICML, 2020)

Reinforcement Learning with Augmented Data. - Michael Laskin; Kimin Lee; Adam Stooke; Lerrel Pinto; Pieter Abbeel; Aravind Srinivas (NeurIPS, 2020)

Perception-Prediction-Reaction Agents for Deep Reinforcement Learning. - Adam Stooke; Valentin Dalibard; Siddhant M. Jayakumar; Wojciech M. Czarnecki; Max Jaderberg (CoRR, 2020)

Decoupling Representation Learning from Reinforcement Learning. - Adam Stooke; Kimin Lee; Pieter Abbeel; Michael Laskin (ICML, 2021)

Open-Ended Learning Leads to Generally Capable Agents. - Open Ended Learning Team; Adam Stooke; Anuj Mahajan; Catarina Barros; Charlie Deck; Jakob Bauer; Jakub Sygnowski; Maja Trebacz; Max Jaderberg; Michaël Mathieu; Nat McAleese; Nathalie Bradley-Schmieg; et al. (CoRR, 2021)

Internal Language Model Personalization of E2E Automatic Speech Recognition Using Random Encoder Features. - Adam Stooke; Khe Chai Sim; Mason Chua; Tsendsuren Munkhdalai; Trevor Strohman (SLT, 2022)

Massive End-to-end Models for Short Search Queries. - Weiran Wang; Rohit Prabhavalkar; Dongseong Hwang; Qiujia Li; Khe Chai Sim; Bo Li 028; James Qin; Xingyu Cai; Adam Stooke; Zhong Meng; CJ Zheng; Yanzhang He; et al. (CoRR, 2023)

Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models. - Rohit Prabhavalkar; Zhong Meng; Weiran Wang; Adam Stooke; Xingyu Cai; Yanzhang He; Arun Narayanan; Dongseong Hwang; Tara N. Sainath; Pedro J. Moreno 001 (ICASSP, 2024)

A Comparison of Parameter-Efficient ASR Domain Adaptation Methods for Universal Speech and Language Models. - Khe Chai Sim; Zhouyuan Huo; Tsendsuren Munkhdalai; Nikhil Siddhartha; Adam Stooke; Zhong Meng; Bo Li 028; Tara N. Sainath (ICASSP, 2024)

Massive End-to-end Speech Recognition Models with Time Reduction. - Weiran Wang; Rohit Prabhavalkar; Haozhe Shan; Zhong Meng; Dongseong Hwang; Qiujia Li; Khe Chai Sim; Bo Li 028; James Qin; Xingyu Cai; Adam Stooke; Chengjian Zheng; et al. (NAACL-HLT, 2024)

Aligner-Encoders: Self-Attention Transformers Can Be Self-Transducers. - Adam Stooke; Rohit Prabhavalkar; Khe Chai Sim; Pedro Moreno Mengibar (NeurIPS, 2024)