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02/01/2022
Distributional Reinforcement Learning via Sinkhorn Iterations
Distributional reinforcement learning (RL) is a class of state-of-the-ar...
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10/17/2021
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization
Anderson mixing has been heuristically applied to reinforcement learning...
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10/07/2021
Towards Understanding Distributional Reinforcement Learning: Regularization, Optimization, Acceleration and Sinkhorn Algorithm
Distributional reinforcement learning (RL) is a class of state-of-the-ar...
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09/17/2021
Exploring the Robustness of Distributional Reinforcement Learning against Noisy State Observations
In real scenarios, state observations that an agent observes may contain...
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10/17/2020