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target network

20 papers

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