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Found 3 papers, 3 papers with code
Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning
This study aims to minimize the influence of fake news on social networks by deploying debunkers to propagate true news.
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning
Model-based reinforcement learning algorithms are typically more sample efficient than their model-free counterparts, especially in sparse reward problems.
Model-based Reinforcement Learning
reinforcement-learning
+1
Adapting to Reward Progressivity via Spectral Reinforcement Learning
In this paper we consider reinforcement learning tasks with progressive rewards; that is, tasks where the rewards tend to increase in magnitude over time.
