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12/28/2022
On the Convergence of Discounted Policy Gradient Methods
Many popular policy gradient methods for reinforcement learning follow a...
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01/06/2020
Learning Reusable Options for Multi-Task Reinforcement Learning
Reinforcement learning (RL) has become an increasingly active area of re...
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06/17/2019
Is the Policy Gradient a Gradient?
The policy gradient theorem describes the gradient of the expected disco...
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06/06/2019
Classical Policy Gradient: Preserving Bellman's Principle of Optimality
We propose a new objective function for finite-horizon episodic Markov d...
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06/05/2019
Lifelong Learning with a Changing Action Set
In many real-world sequential decision making problems, the number of av...
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02/15/2019
Asynchronous Coagent Networks: Stochastic Networks for Reinforcement Learning without Backpropagation or a Clock
In this paper we introduce a reinforcement learning (RL) approach for tr...
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02/15/2019