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Found 4 papers, 2 papers with code
Decoupling Exploration and Exploitation for Unsupervised Pre-training with Successor Features
Our suggested model is termed Non-Monolithic unsupervised Pre-training with Successor features (NMPS), which improves the performance of the original monolithic exploration method of pre-training with SFs.
An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework
The issue of `when' of a monolithic exploration in the usual RL exploration behaviour binds an exploratory action to an exploitational action of an agent.
CDRec: Cayley-Dickson Recommender
In this paper, we propose a recommendation framework named Cayley-Dickson Recommender.
Hierarchical Reinforcement Learning with Optimal Level Synchronization based on a Deep Generative Model
We propose a novel HRL model supporting the optimal level synchronization using the off-policy correction technique with a deep generative model.
Hierarchical Reinforcement Learning
reinforcement-learning
+1
