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05/29/2023
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo
We present a scalable and effective exploration strategy based on Thomps...
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02/03/2023
Learning to Optimize for Reinforcement Learning
In recent years, by leveraging more data, computation, and diverse tasks...
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05/22/2022
Memory-efficient Reinforcement Learning with Knowledge Consolidation
Artificial neural networks are promising as general function approximato...
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12/20/2021
Variational Quantum Soft Actor-Critic
Quantum computing has a superior advantage in tackling specific problems...
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05/29/2021
Predictive Representation Learning for Language Modeling
To effectively perform the task of next-word prediction, long short-term...
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03/09/2021
Model-free Policy Learning with Reward Gradients
Policy gradient methods estimate the gradient of a policy objective sole...
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02/16/2020
Maxmin Q-learning: Controlling the Estimation Bias of Q-learning
Q-learning suffers from overestimation bias, because it approximates the...
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12/19/2019