https://openreview.net/forum?id=dltUedmUVT
Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning |...
In large-scale distributed machine learning, recent works have studied the effects of compressing gradients in stochastic optimization to alleviate the...
temporal difference learningcompressedupdateserrorfeedback
https://deepai.org/publication/differentially-private-temporal-difference-learning-with-stochastic-nonconvex-strongly-concave-optimization
Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave...
Jan 25, 2022 - 01/25/22 - Temporal difference (TD) learning is a widely used method to evaluate policies in reinforcement learning. While many TD learning m...
temporal difference learningprivatestochasticnonconvexstrongly
https://deepai.org/publication/learning-feature-relevance-through-step-size-adaptation-in-temporal-difference-learning
Learning Feature Relevance Through Step Size Adaptation in Temporal-Difference Learning | DeepAI
Mar 8, 2019 - 03/08/19 - There is a long history of using meta learning as representation learning, specifically for determining the relevance of inputs. I...
step sizetemporal differencelearningfeaturerelevance