Alert button
Picture for John D. Co-Reyes

John D. Co-Reyes

Alert button

Guided Evolution with Binary Discriminators for ML Program Search

Feb 08, 2024
John D. Co-Reyes, Yingjie Miao, George Tucker, Aleksandra Faust, Esteban Real

Viaarxiv icon

Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Dec 22, 2023
Avi Singh, John D. Co-Reyes, Rishabh Agarwal, Ankesh Anand, Piyush Patil, Xavier Garcia, Peter J. Liu, James Harrison, Jaehoon Lee, Kelvin Xu, Aaron Parisi, Abhishek Kumar, Alex Alemi, Alex Rizkowsky, Azade Nova, Ben Adlam, Bernd Bohnet, Gamaleldin Elsayed, Hanie Sedghi, Igor Mordatch, Isabelle Simpson, Izzeddin Gur, Jasper Snoek, Jeffrey Pennington, Jiri Hron, Kathleen Kenealy, Kevin Swersky, Kshiteej Mahajan, Laura Culp, Lechao Xiao, Maxwell L. Bileschi, Noah Constant, Roman Novak, Rosanne Liu, Tris Warkentin, Yundi Qian, Yamini Bansal, Ethan Dyer, Behnam Neyshabur, Jascha Sohl-Dickstein, Noah Fiedel

Figure 1 for Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Figure 2 for Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Figure 3 for Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Figure 4 for Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Viaarxiv icon

Improving Large Language Model Fine-tuning for Solving Math Problems

Oct 16, 2023
Yixin Liu, Avi Singh, C. Daniel Freeman, John D. Co-Reyes, Peter J. Liu

Viaarxiv icon

Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research

Oct 12, 2023
Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp

Figure 1 for Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research
Figure 2 for Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research
Figure 3 for Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research
Figure 4 for Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research
Viaarxiv icon

Small-scale proxies for large-scale Transformer training instabilities

Sep 25, 2023
Mitchell Wortsman, Peter J. Liu, Lechao Xiao, Katie Everett, Alex Alemi, Ben Adlam, John D. Co-Reyes, Izzeddin Gur, Abhishek Kumar, Roman Novak, Jeffrey Pennington, Jascha Sohl-dickstein, Kelvin Xu, Jaehoon Lee, Justin Gilmer, Simon Kornblith

Figure 1 for Small-scale proxies for large-scale Transformer training instabilities
Figure 2 for Small-scale proxies for large-scale Transformer training instabilities
Figure 3 for Small-scale proxies for large-scale Transformer training instabilities
Figure 4 for Small-scale proxies for large-scale Transformer training instabilities
Viaarxiv icon

Multi-objective evolution for Generalizable Policy Gradient Algorithms

Apr 08, 2022
Juan Jose Garau-Luis, Yingjie Miao, John D. Co-Reyes, Aaron Parisi, Jie Tan, Esteban Real, Aleksandra Faust

Figure 1 for Multi-objective evolution for Generalizable Policy Gradient Algorithms
Figure 2 for Multi-objective evolution for Generalizable Policy Gradient Algorithms
Figure 3 for Multi-objective evolution for Generalizable Policy Gradient Algorithms
Figure 4 for Multi-objective evolution for Generalizable Policy Gradient Algorithms
Viaarxiv icon

Information is Power: Intrinsic Control via Information Capture

Dec 07, 2021
Nicholas Rhinehart, Jenny Wang, Glen Berseth, John D. Co-Reyes, Danijar Hafner, Chelsea Finn, Sergey Levine

Figure 1 for Information is Power: Intrinsic Control via Information Capture
Figure 2 for Information is Power: Intrinsic Control via Information Capture
Figure 3 for Information is Power: Intrinsic Control via Information Capture
Figure 4 for Information is Power: Intrinsic Control via Information Capture
Viaarxiv icon

Evolving Reinforcement Learning Algorithms

Jan 08, 2021
John D. Co-Reyes, Yingjie Miao, Daiyi Peng, Esteban Real, Sergey Levine, Quoc V. Le, Honglak Lee, Aleksandra Faust

Figure 1 for Evolving Reinforcement Learning Algorithms
Figure 2 for Evolving Reinforcement Learning Algorithms
Figure 3 for Evolving Reinforcement Learning Algorithms
Figure 4 for Evolving Reinforcement Learning Algorithms
Viaarxiv icon

Ecological Reinforcement Learning

Jun 22, 2020
John D. Co-Reyes, Suvansh Sanjeev, Glen Berseth, Abhishek Gupta, Sergey Levine

Figure 1 for Ecological Reinforcement Learning
Figure 2 for Ecological Reinforcement Learning
Figure 3 for Ecological Reinforcement Learning
Figure 4 for Ecological Reinforcement Learning
Viaarxiv icon

Entity Abstraction in Visual Model-Based Reinforcement Learning

Dec 04, 2019
Rishi Veerapaneni, John D. Co-Reyes, Michael Chang, Michael Janner, Chelsea Finn, Jiajun Wu, Joshua B. Tenenbaum, Sergey Levine

Figure 1 for Entity Abstraction in Visual Model-Based Reinforcement Learning
Figure 2 for Entity Abstraction in Visual Model-Based Reinforcement Learning
Figure 3 for Entity Abstraction in Visual Model-Based Reinforcement Learning
Figure 4 for Entity Abstraction in Visual Model-Based Reinforcement Learning
Viaarxiv icon