Sotabase

Career

· Head Graduate Student Instructor, UC Berkeley2020–
· Research Assistant, MIT
· Researcher, OpenAI
· PhD Student, UC Berkeley

Publications (27)

GPT-4o System Card
arXiv.org · 2024
2,980
cited
When to Trust Your Model: Model-Based Policy Optimization
Neural Information Processing Systems · 2019
1,109
cited
Planning with Diffusion for Flexible Behavior Synthesis
International Conference on Machine Learning · 2022
1,002
cited
Offline Reinforcement Learning as One Big Sequence Modeling Problem
Neural Information Processing Systems · 2021
801
cited
Training Diffusion Models with Reinforcement Learning
International Conference on Learning Representations · 2023
673
cited
IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies
arXiv.org · 2023
233
cited
Entity Abstraction in Visual Model-Based Reinforcement Learning
Conference on Robot Learning · 2019
199
cited
Self-Supervised Intrinsic Image Decomposition
Neural Information Processing Systems · 2017
142
cited
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning
International Conference on Learning Representations · 2018
132
cited
Reinforcement Learning as One Big Sequence Modeling Problem
arXiv.org · 2021
90
cited
Efficient Planning in a Compact Latent Action Space
International Conference on Learning Representations · 2022
56
cited
Photonic labyrinths: two-dimensional dynamic magnetic assembly and in situ solidification.
Nano letters (Print) · 2013
52
cited
γ-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction
arXiv.org · 2020
44
cited
Magnetochromatic Thin‐Film Microplates
Advances in Materials · 2015
33
cited
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control
International Conference on Machine Learning · 2022
31
cited
Reasoning About Physical Interactions with Object-Centric Models
2018
29
cited
Causal and compositional generative models in online perception
Annual Meeting of the Cognitive Science Society · 2017
16
cited
H-GAP: Humanoid Control with a Generalist Planner
International Conference on Learning Representations · 2023
11
cited
Deep Generative Models for Decision-Making and Control
arXiv.org · 2023
3
cited
Learning to Generalize Intrinsic Images with a Structured Disentangling Autoencoder
Neural Information Processing Systems · 2017
2
cited
Sotabase
Michael Janner | Researcher Profile | Sotabase | Sotabase