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Found 3 papers, 1 papers with code
FactoredRL: Leveraging Factored Graphs for Deep Reinforcement Learning
We propose a simple class of deep reinforcement learning (RL) methods, called FactoredRL, that can leverage factored environment structures to improve the sample efficiency of existing model-based and model-free RL algorithms.
Soft Actor-Critic for Discrete Action Settings
Soft Actor-Critic is a state-of-the-art reinforcement learning algorithm for continuous action settings that is not applicable to discrete action settings.
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Reinforcement Learning with Structured Hierarchical Grammar Representations of Actions
From a young age humans learn to use grammatical principles to hierarchically combine words into sentences.
