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10/21/2022
Biologically Plausible Variational Policy Gradient with Spiking Recurrent Winner-Take-All Networks
One stream of reinforcement learning research is exploring biologically ...
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10/30/2021
Adjacency constraint for efficient hierarchical reinforcement learning
Goal-conditioned Hierarchical Reinforcement Learning (HRL) is a promisin...
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08/27/2021
Subjective Learning for Open-Ended Data
Conventional machine learning methods typically assume that data is spli...
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06/17/2021
CRIL: Continual Robot Imitation Learning via Generative and Prediction Model
Imitation learning (IL) algorithms have shown promising results for robo...
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06/20/2020
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning
Goal-conditioned hierarchical reinforcement learning (HRL) is a promisin...
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09/09/2019
