Michael Janner

According to our database1, Michael Janner authored at least 16 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
H-GAP: Humanoid Control with a Generalist Planner.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Training Diffusion Models with Reinforcement Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Deep Generative Models for Decision-Making and Control.
CoRR, 2023

IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies.
CoRR, 2023

Efficient Planning in a Compact Latent Action Space.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control.
Proceedings of the International Conference on Machine Learning, 2022

Planning with Diffusion for Flexible Behavior Synthesis.
Proceedings of the International Conference on Machine Learning, 2022

2021
Reinforcement Learning as One Big Sequence Modeling Problem.
CoRR, 2021

Offline Reinforcement Learning as One Big Sequence Modeling Problem.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
γ-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction.
CoRR, 2020

Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
When to Trust Your Model: Model-Based Policy Optimization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Reasoning About Physical Interactions with Object-Oriented Prediction and Planning.
Proceedings of the 7th International Conference on Learning Representations, 2019

Entity Abstraction in Visual Model-Based Reinforcement Learning.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2017
Self-Supervised Intrinsic Image Decomposition.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Causal and compositional generative models in online perception.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017


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