Sotabase

Career

· Assistant Professor, Princeton University2023–
· PhD Student, Carnegie Mellon University2018–2023
· Student Researcher / Intern, Google Brain/Research2017–2018
· Undergraduate Student, Massachusetts Institute of Technology (MIT)2013–2017

Publications (141)

Diversity is All You Need: Learning Skills without a Reward Function
International Conference on Learning Representations · 2018
1,217
cited
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning
Neural Information Processing Systems · 2019
331
cited
Efficient Exploration via State Marginal Matching
arXiv.org · 2019
272
cited
Maximum Entropy RL (Provably) Solves Some Robust RL Problems
International Conference on Learning Representations · 2021
225
cited
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Neural Information Processing Systems · 2022
216
cited
RvS: What is Essential for Offline RL via Supervised Learning?
International Conference on Learning Representations · 2021
215
cited
Learning to Reach Goals via Iterated Supervised Learning
International Conference on Learning Representations · 2019
208
cited
Learning to be Safe: Deep RL with a Safety Critic
arXiv.org · 2020
170
cited
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
International Conference on Machine Learning · 2021
168
cited
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
International Conference on Machine Learning · 2018
153
cited
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning
International Conference on Learning Representations · 2017
148
cited
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs
International Conference on Machine Learning · 2021
145
cited
Clustervision: Visual Supervision of Unsupervised Clustering
IEEE Transactions on Visualization and Computer Graphics · 2018
127
cited
ViNG: Learning Open-World Navigation with Visual Goals
IEEE International Conference on Robotics and Automation · 2020
121
cited
RECON: Rapid Exploration for Open-World Navigation with Latent Goal Models
Conference on Robot Learning · 2021
117
cited
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers
International Conference on Learning Representations · 2020
114
cited
Unsupervised Meta-Learning for Reinforcement Learning
arXiv.org · 2018
111
cited
HIQL: Offline Goal-Conditioned RL with Latent States as Actions
Neural Information Processing Systems · 2023
102
cited
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
Neural Information Processing Systems · 2020
93
cited
C-Learning: Learning to Achieve Goals via Recursive Classification
International Conference on Learning Representations · 2020
87
cited
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