Daniel Toyama

Publications by Year

Research Areas

Reinforcement Learning in Robotics, Natural Language Processing Techniques, Machine Learning and Algorithms, Machine Learning and Data Classification, Data Stream Mining Techniques

Most-Cited Works

• → Scaling Language Models: Methods, Analysis & Insights from Training Gopher(2021)242 cited
• → The Option Keyboard: Combining Skills in Reinforcement Learning(2019)38 cited
• → AndroidEnv: A Reinforcement Learning Platform for Android(2021)8 cited
• → AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning(2023)5 cited
• Knowledge Representation for Reinforcement Learning using General Value Functions(2018)
• → RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning(2021)2 cited
• → Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search(2023)
• → Learning how to Interact with a Complex Interface using Hierarchical Reinforcement Learning(2022)
• RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning.(2021)