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03/09/2023
Hierarchical Neural Program Synthesis
Program synthesis aims to automatically construct human-readable program...
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02/26/2023
Diffusion Model-Augmented Behavioral Cloning
Imitation learning addresses the challenge of learning by observing an e...
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01/30/2023
Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs
Aiming to produce reinforcement learning (RL) policies that are human-in...
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04/25/2022
Skill-based Meta-Reinforcement Learning
While deep reinforcement learning methods have shown impressive results ...
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08/31/2021
Learning to Synthesize Programs as Interpretable and Generalizable Policies
Recently, deep reinforcement learning (DRL) methods have achieved impres...
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10/30/2019
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Model-agnostic meta-learners aim to acquire meta-learned parameters from...
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12/18/2018