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·
Graduate Fellow
,
NVIDIA Research
2018–
·
PhD student in computer science
,
University of California, Berkeley (UC Berkeley)
2015–
Publications
(16)
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Neural Information Processing Systems · 2016
828
cited
Reinforcement Learning with Augmented Data
Neural Information Processing Systems · 2020
742
cited
Decoupling Representation Learning from Reinforcement Learning
International Conference on Machine Learning · 2020
380
cited
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
International Conference on Machine Learning · 2020
367
cited
Open-Ended Learning Leads to Generally Capable Agents
arXiv.org · 2021
220
cited
Accelerated Methods for Deep Reinforcement Learning
arXiv.org · 2018
141
cited
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch
arXiv.org · 2019
100
cited
Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2024
11
cited
A Comparison of Parameter-Efficient ASR Domain Adaptation Methods for Universal Speech and Language Models
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2024
6
cited
Internal Language Model Personalization of E2E Automatic Speech Recognition Using Random Encoder Features
Spoken Language Technology Workshop · 2023
4
cited
Massive End-to-end Speech Recognition Models with Time Reduction
North American Chapter of the Association for Computational Linguistics · 2024
3
cited
Aligner-Encoders: Self-Attention Transformers Can Be Self-Transducers
Neural Information Processing Systems · 2025
2
cited
Massive End-to-end Models for Short Search Queries
arXiv.org · 2023
2
cited
Perception-Prediction-Reaction Agents for Deep Reinforcement Learning
arXiv.org · 2020
1
cited
Synkhronos: a Multi-GPU Theano Extension for Data Parallelism
arXiv.org · 2017
Under review as a conference paper at ICLR 2017 # Exploration : A Study of Count-Based Exploration for Deep Reinforcement Learning
2017
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Adam Stooke | Researcher Profile | Sotabase | Sotabase