Co-occurring keywords · papers mentioning both
Papers
Simplifying Deep Temporal Difference Learning
ICLR 2025
Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps
NeurIPS 2024
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity
ICLR 2024
Learning the Target Network in Function Space
ICML 2024
Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation
ICML 2024
UNSEE: Unsupervised Non-contrastive Sentence Embeddings
EACL 2024
Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning
CVPR 2023
Why Target Networks Stabilise Temporal Difference Methods
ICML 2023
Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation
AISTATS 2022
Faster Deep Reinforcement Learning with Slower Online Network
NeurIPS 2022
Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning
ICML 2022
Breaking the Deadly Triad with a Target Network
ICML 2021
Deep Residual Reinforcement Learning (Extended Abstract)
IJCAI 2021
GRAC: Self-Guided and Self-Regularized Actor-Critic
CoRL 2021
A new convergent variant of Q-learning with linear function approximation
NeurIPS 2020
A Theoretical Analysis of Deep Q-Learning
L4DC 2020
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks
ICLR 2020
Periodic Q-Learning
L4DC 2020
DeepMellow: Removing the Need for a Target Network in Deep Q-Learning
IJCAI 2019
Target-Based Temporal-Difference Learning
ICML 2019