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06/20/2023
Informed POMDP: Leveraging Additional Information in Model-Based RL
In this work, we generalize the problem of learning through interaction ...
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05/11/2023
Policy Gradient Algorithms Implicitly Optimize by Continuation
Direct policy optimization in reinforcement learning is usually solved w...
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08/06/2022
Recurrent networks, hidden states and beliefs in partially observable environments
Reinforcement learning aims to learn optimal policies from interaction w...
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06/06/2021
Distributional Reinforcement Learning with Unconstrained Monotonic Neural Networks
The distributional reinforcement learning (RL) approach advocates for re...
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06/02/2020
Learning optimal environments using projected stochastic gradient ascent
In this work, we generalize the direct policy search algorithms to an al...
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04/13/2020
