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06/09/2023
Embodied Executable Policy Learning with Language-based Scene Summarization
Large Language models (LLMs) have shown remarkable success in assisting ...
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04/17/2023
Hyper-Decision Transformer for Efficient Online Policy Adaptation
Decision Transformers (DT) have demonstrated strong performances in offl...
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01/21/2023
Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models?
Recent advancements in Large Language Models (LLMs) have drawn increasin...
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10/21/2022
Continual Reinforcement Learning with Group Symmetries
Continual reinforcement learning (RL) aims to learn a sequence of tasks ...
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10/21/2022
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables
One key challenge for multi-task Reinforcement learning (RL) in practice...
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10/18/2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
Curriculum Reinforcement Learning (CRL) aims to create a sequence of tas...
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10/10/2022
Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment
Multimedia summarization with multimodal output (MSMO) is a recently exp...
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09/16/2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
A trustworthy reinforcement learning algorithm should be competent in so...
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08/10/2022
An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram
Electroencephalography (EEG) and language have been widely explored inde...
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06/27/2022
Prompting Decision Transformer for Few-Shot Policy Generalization
Humans can leverage prior experience and learn novel tasks from a handfu...
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04/07/2022
MHMS: Multimodal Hierarchical Multimedia Summarization
Multimedia summarization with multimodal output can play an essential ro...
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02/19/2022
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training
Robust Reinforcement Learning (RL) focuses on improving performances und...
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06/19/2021
Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling
The evaluation of rare but high-stakes events remains one of the main di...
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02/07/2021
Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data
Optimal transport (OT) has generated much recent interest by its capabil...
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01/02/2021
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments
Safety is a critical concern when deploying reinforcement learning agent...
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06/19/2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
Continuously learning to solve unseen tasks with limited experience has ...
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05/11/2020
Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive Environments
Action and observation delays exist prevalently in the real-world cyber-...
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05/11/2020
Delay-Aware Model-Based Reinforcement Learning for Continuous Control
Action delays degrade the performance of reinforcement learning in many ...
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09/17/2019