Robuta

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