Ge Yang

Affiliations:
  • Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
  • University of Chicago, Department of Physics, IL, USA
  • Facebook AI Research


According to our database1, Ge Yang authored at least 14 papers between 2018 and 2024.

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Bibliography

2024
Rapid locomotion via reinforcement learning.
Int. J. Robotics Res., 2024

2023
To the Noise and Back: Diffusion for Shared Autonomy.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Compositional Sculpting of Iterative Generative Processes.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Bilinear value networks.
CoRR, 2022

Invariance Through Latent Alignment.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Overcoming The Spectral Bias of Neural Value Approximation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Bi-linear Value Networks for Multi-goal Reinforcement Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Invariance Through Inference.
CoRR, 2021

World Model as a Graph: Learning Latent Landmarks for Planning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Task Informed Abstractions.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Plan2Vec: Unsupervised Representation Learning by Latent Plans.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

2018
Some Considerations on Learning to Explore via Meta-Reinforcement Learning.
CoRR, 2018

The Importance of Sampling inMeta-Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning Plannable Representations with Causal InfoGAN.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018


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