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07/20/2023
Reparameterized Policy Learning for Multimodal Trajectory Optimization
We investigate the challenge of parametrizing policies for reinforcement...
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09/16/2022
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks
In temporal-difference reinforcement learning algorithms, variance in va...
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12/06/2021
Target Entropy Annealing for Discrete Soft Actor-Critic
Soft Actor-Critic (SAC) is considered the state-of-the-art algorithm in ...
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10/28/2021
Temporal-Difference Value Estimation via Uncertainty-Guided Soft Updates
Temporal-Difference (TD) learning methods, such as Q-Learning, have prov...
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09/05/2021