Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Shuze, Zhang, Shangtong |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient Multi-Policy Evaluation for Reinforcement Learning
by: Liu, Shuze Daniel, et al.
Published: (2024)
by: Liu, Shuze Daniel, et al.
Published: (2024)
Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning
by: Chen, Claire, et al.
Published: (2024)
by: Chen, Claire, et al.
Published: (2024)
Doubly Optimal Policy Evaluation for Reinforcement Learning
by: Liu, Shuze Daniel, et al.
Published: (2024)
by: Liu, Shuze Daniel, et al.
Published: (2024)
The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise
by: Liu, Shuze Daniel, et al.
Published: (2024)
by: Liu, Shuze Daniel, et al.
Published: (2024)
Convergence of Two-Timescale Markovian Stochastic Approximations with Applications in Reinforcement Learning
by: Mahadevan, Vagul, et al.
Published: (2026)
by: Mahadevan, Vagul, et al.
Published: (2026)
Adaptive Policy Selection and Fine-Tuning under Interaction Budgets for Offline-to-Online Reinforcement Learning
by: Bozkurt, Alper Kamil, et al.
Published: (2026)
by: Bozkurt, Alper Kamil, et al.
Published: (2026)
Beyond Linear Attention: Softmax Transformers Implement In-Context Reinforcement Learning
by: Xie, Zixuan, et al.
Published: (2026)
by: Xie, Zixuan, et al.
Published: (2026)
Predicting Plasticity in Deep Continual Learning: A Theoretical Perspective
by: Wang, Jiuqi, et al.
Published: (2026)
by: Wang, Jiuqi, et al.
Published: (2026)
Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch
by: Zhang, Shangtong, et al.
Published: (2021)
by: Zhang, Shangtong, et al.
Published: (2021)
Constrained Policy Optimization with Explicit Behavior Density for Offline Reinforcement Learning
by: Zhang, Jing, et al.
Published: (2023)
by: Zhang, Jing, et al.
Published: (2023)
Offline Policy Evaluation for Reinforcement Learning with Adaptively Collected Data
by: Madhow, Sunil, et al.
Published: (2023)
by: Madhow, Sunil, et al.
Published: (2023)
Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning
by: Gao, Chen-Xiao, et al.
Published: (2025)
by: Gao, Chen-Xiao, et al.
Published: (2025)
EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data
by: Zhang, Jesse, et al.
Published: (2024)
by: Zhang, Jesse, et al.
Published: (2024)
Revisiting a Design Choice in Gradient Temporal Difference Learning
by: Qian, Xiaochi, et al.
Published: (2023)
by: Qian, Xiaochi, et al.
Published: (2023)
Mildly Constrained Evaluation Policy for Offline Reinforcement Learning
by: Xu, Linjie, et al.
Published: (2023)
by: Xu, Linjie, et al.
Published: (2023)
Distributional Offline Policy Evaluation with Predictive Error Guarantees
by: Wu, Runzhe, et al.
Published: (2023)
by: Wu, Runzhe, et al.
Published: (2023)
Distorted Distributional Policy Evaluation for Offline Reinforcement Learning
by: Iwaki, Ryo, et al.
Published: (2026)
by: Iwaki, Ryo, et al.
Published: (2026)
Diffusion Policies for Risk-Averse Behavior Modeling in Offline Reinforcement Learning
by: Chen, Xiaocong, et al.
Published: (2024)
by: Chen, Xiaocong, et al.
Published: (2024)
When is Offline Policy Selection Sample Efficient for Reinforcement Learning?
by: Liu, Vincent, et al.
Published: (2023)
by: Liu, Vincent, et al.
Published: (2023)
Towards Formalizing Reinforcement Learning Theory
by: Zhang, Shangtong
Published: (2025)
by: Zhang, Shangtong
Published: (2025)
Online Policy Learning from Offline Preferences
by: Zhang, Guoxi, et al.
Published: (2024)
by: Zhang, Guoxi, et al.
Published: (2024)
Learning Control Policies for Variable Objectives from Offline Data
by: Weber, Marc, et al.
Published: (2023)
by: Weber, Marc, et al.
Published: (2023)
Fat-to-Thin Policy Optimization: Offline RL with Sparse Policies
by: Zhu, Lingwei, et al.
Published: (2025)
by: Zhu, Lingwei, et al.
Published: (2025)
Evaluation-Time Policy Switching for Offline Reinforcement Learning
by: Neggatu, Natinael Solomon, et al.
Published: (2025)
by: Neggatu, Natinael Solomon, et al.
Published: (2025)
Sample-Efficient Policy Constraint Offline Deep Reinforcement Learning based on Sample Filtering
by: Chen, Yuanhao, et al.
Published: (2025)
by: Chen, Yuanhao, et al.
Published: (2025)
Robust Offline Policy Learning with Observational Data from Multiple Sources
by: Carranza, Aldo Gael, et al.
Published: (2024)
by: Carranza, Aldo Gael, et al.
Published: (2024)
Beyond State-Wise Mirror Descent: Offline Policy Optimization with Parametric Policies
by: Li, Xiang, et al.
Published: (2026)
by: Li, Xiang, et al.
Published: (2026)
Offline Two-Player Zero-Sum Markov Games with KL Regularization
by: Chen, Claire, et al.
Published: (2026)
by: Chen, Claire, et al.
Published: (2026)
Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation
by: Jia, Chengxing, et al.
Published: (2024)
by: Jia, Chengxing, et al.
Published: (2024)
Efficient Online RL Fine Tuning with Offline Pre-trained Policy Only
by: Xiao, Wei, et al.
Published: (2025)
by: Xiao, Wei, et al.
Published: (2025)
Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search
by: Mou, Zhiyu, et al.
Published: (2025)
by: Mou, Zhiyu, et al.
Published: (2025)
Off-Policy Evaluation of Ranking Policies via Embedding-Space User Behavior Modeling
by: Takahashi, Tatsuki, et al.
Published: (2025)
by: Takahashi, Tatsuki, et al.
Published: (2025)
Policy-regularized Offline Multi-objective Reinforcement Learning
by: Lin, Qian, et al.
Published: (2024)
by: Lin, Qian, et al.
Published: (2024)
Dataset Clustering for Improved Offline Policy Learning
by: Wang, Qiang, et al.
Published: (2024)
by: Wang, Qiang, et al.
Published: (2024)
Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL
by: Luo, Yu, et al.
Published: (2024)
by: Luo, Yu, et al.
Published: (2024)
Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
by: Ma, Yunchang, et al.
Published: (2025)
by: Ma, Yunchang, et al.
Published: (2025)
MathlibLemma: Folklore Lemma Generation and Benchmark for Formal Mathematics
by: Liu, Xinyu, et al.
Published: (2026)
by: Liu, Xinyu, et al.
Published: (2026)
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization
by: Zhai, Yuanzhao, et al.
Published: (2024)
by: Zhai, Yuanzhao, et al.
Published: (2024)
Active Reinforcement Learning Strategies for Offline Policy Improvement
by: Dukkipati, Ambedkar, et al.
Published: (2024)
by: Dukkipati, Ambedkar, et al.
Published: (2024)
Hypercube Policy Regularization Framework for Offline Reinforcement Learning
by: Shen, Yi, et al.
Published: (2024)
by: Shen, Yi, et al.
Published: (2024)
Similar Items
-
Efficient Multi-Policy Evaluation for Reinforcement Learning
by: Liu, Shuze Daniel, et al.
Published: (2024) -
Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning
by: Chen, Claire, et al.
Published: (2024) -
Doubly Optimal Policy Evaluation for Reinforcement Learning
by: Liu, Shuze Daniel, et al.
Published: (2024) -
The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise
by: Liu, Shuze Daniel, et al.
Published: (2024) -
Convergence of Two-Timescale Markovian Stochastic Approximations with Applications in Reinforcement Learning
by: Mahadevan, Vagul, et al.
Published: (2026)