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09/07/2023
Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making
Decisions made by machine learning models may have lasting impacts over ...
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06/22/2023
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
Despite recent progress in reinforcement learning (RL) from raw pixel da...
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02/02/2023
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function
Probabilistic dynamics model ensemble is widely used in existing model-b...
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07/25/2022
Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy
Model-based reinforcement learning (RL) achieves higher sample efficienc...
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01/01/2022
Transfer RL across Observation Feature Spaces via Model-Based Regularization
In many reinforcement learning (RL) applications, the observation space ...
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10/24/2020
