Generalisation in Multitask Fitted Q-Iteration and Offline Q-learning
Fuente:
arXiv
Saved in:
| Main Authors: | Manda, Kausthubh, Diddigi, Raghuram Bharadwaj |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning Distinguishable Representations in Deep Q-Networks for Linear Transfer
by: Sathish, Sooraj, et al.
Published: (2025)
by: Sathish, Sooraj, et al.
Published: (2025)
Full-Gradient Successor Feature Representations
by: Shrirao, Ritish, et al.
Published: (2026)
by: Shrirao, Ritish, et al.
Published: (2026)
Generalized Fitted Q-Iteration with Clustered Data
by: Hu, Liyuan, et al.
Published: (2025)
by: Hu, Liyuan, et al.
Published: (2025)
CLIP-RL: Aligning Language and Policy Representations for Task Transfer in Reinforcement Learning
by: Gautam, Chainesh, et al.
Published: (2025)
by: Gautam, Chainesh, et al.
Published: (2025)
Finite-Time Bounds for Average-Reward Fitted Q-Iteration
by: Lee, Jongmin, et al.
Published: (2025)
by: Lee, Jongmin, et al.
Published: (2025)
Stationary Reweighting Yields Local Convergence of Soft Fitted Q-Iteration
by: van der Laan, Lars, et al.
Published: (2025)
by: van der Laan, Lars, et al.
Published: (2025)
Yes, Q-learning Helps Offline In-Context RL
by: Tarasov, Denis, et al.
Published: (2025)
by: Tarasov, Denis, et al.
Published: (2025)
Exclusively Penalized Q-learning for Offline Reinforcement Learning
by: Yeom, Junghyuk, et al.
Published: (2024)
by: Yeom, Junghyuk, et al.
Published: (2024)
A Measure-Theoretic Finite-Sample Theory for Adaptive-Data Fitted Q-Iteration
by: Haussmann, Manuel, et al.
Published: (2026)
by: Haussmann, Manuel, et al.
Published: (2026)
Fitted Q-Iteration via Max-Plus-Linear Approximation
by: Liu, Y., et al.
Published: (2024)
by: Liu, Y., et al.
Published: (2024)
Image Generation from Image Captioning -- Invertible Approach
by: Menon, Nandakishore S, et al.
Published: (2024)
by: Menon, Nandakishore S, et al.
Published: (2024)
Robust Fitted-Q-Evaluation and Iteration under Sequentially Exogenous Unobserved Confounders
by: Bruns-Smith, David, et al.
Published: (2023)
by: Bruns-Smith, David, et al.
Published: (2023)
UNIQ: Offline Inverse Q-learning for Avoiding Undesirable Demonstrations
by: Hoang, Huy, et al.
Published: (2024)
by: Hoang, Huy, et al.
Published: (2024)
Quantile Q-Learning: Revisiting Offline Extreme Q-Learning with Quantile Regression
by: Gao, Xinming, et al.
Published: (2025)
by: Gao, Xinming, et al.
Published: (2025)
Efficient Hierarchical Implicit Flow Q-learning for Offline Goal-conditioned Reinforcement Learning
by: Dong, Zhiqiang, et al.
Published: (2026)
by: Dong, Zhiqiang, et al.
Published: (2026)
Inverse Q-Learning Done Right: Offline Imitation Learning in $Q^π$-Realizable MDPs
by: Moulin, Antoine, et al.
Published: (2025)
by: Moulin, Antoine, et al.
Published: (2025)
Q-value Regularized Transformer for Offline Reinforcement Learning
by: Hu, Shengchao, et al.
Published: (2024)
by: Hu, Shengchao, et al.
Published: (2024)
HyperQ-Opt: Q-learning for Hyperparameter Optimization
by: Hasan, Md. Tarek
Published: (2024)
by: Hasan, Md. Tarek
Published: (2024)
Regularized Q-learning
by: Lim, Han-Dong, et al.
Published: (2022)
by: Lim, Han-Dong, et al.
Published: (2022)
Adaptive Q-Chunking for Offline-to-Online Reinforcement Learning
by: Gireesh, Nandiraju, et al.
Published: (2026)
by: Gireesh, Nandiraju, et al.
Published: (2026)
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model
by: Zhang, Jing, et al.
Published: (2024)
by: Zhang, Jing, et al.
Published: (2024)
Offline Multitask Representation Learning for Reinforcement Learning
by: Ishfaq, Haque, et al.
Published: (2024)
by: Ishfaq, Haque, et al.
Published: (2024)
Transfer Q-learning
by: Chen, Elynn, et al.
Published: (2022)
by: Chen, Elynn, et al.
Published: (2022)
In-Context Compositional Q-Learning for Offline Reinforcement Learning
by: Xu, Qiushui, et al.
Published: (2025)
by: Xu, Qiushui, et al.
Published: (2025)
Imagination-Limited Q-Learning for Offline Reinforcement Learning
by: Liu, Wenhui, et al.
Published: (2025)
by: Liu, Wenhui, et al.
Published: (2025)
Mildly Conservative Q-Learning for Offline Reinforcement Learning
by: Lyu, Jiafei, et al.
Published: (2022)
by: Lyu, Jiafei, et al.
Published: (2022)
Q-learning with Posterior Sampling
by: Agrawal, Priyank, et al.
Published: (2025)
by: Agrawal, Priyank, et al.
Published: (2025)
Deep Transfer $Q$-Learning for Offline Non-Stationary Reinforcement Learning
by: Chai, Jinhang, et al.
Published: (2025)
by: Chai, Jinhang, et al.
Published: (2025)
Adaptive $Q$-Aid for Conditional Supervised Learning in Offline Reinforcement Learning
by: Kim, Jeonghye, et al.
Published: (2024)
by: Kim, Jeonghye, et al.
Published: (2024)
Peng's Q($λ$) for Conservative Value Estimation in Offline Reinforcement Learning
by: Kim, Byeongchan, et al.
Published: (2026)
by: Kim, Byeongchan, et al.
Published: (2026)
Fitted $Q$ Evaluation Without Bellman Completeness via Stationary Weighting
by: van der Laan, Lars, et al.
Published: (2025)
by: van der Laan, Lars, et al.
Published: (2025)
Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning
by: Mao, Yixiu, et al.
Published: (2025)
by: Mao, Yixiu, et al.
Published: (2025)
Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples
by: Meng, Li, et al.
Published: (2021)
by: Meng, Li, et al.
Published: (2021)
Q-value Regularized Decision ConvFormer for Offline Reinforcement Learning
by: Yan, Teng, et al.
Published: (2024)
by: Yan, Teng, et al.
Published: (2024)
Behavior-Adaptive Q-Learning: A Unifying Framework for Offline-to-Online RL
by: Zu, Lipeng, et al.
Published: (2025)
by: Zu, Lipeng, et al.
Published: (2025)
Q-learning as a monotone scheme
by: Yang, Lingyi
Published: (2024)
by: Yang, Lingyi
Published: (2024)
Q-BIOLAT: Binary Latent Protein Fitness Landscapes for QUBO-Based Optimization
by: Hy, Truong-Son
Published: (2026)
by: Hy, Truong-Son
Published: (2026)
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
by: Zhao, Kai, et al.
Published: (2023)
by: Zhao, Kai, et al.
Published: (2023)
Causal Flow Q-Learning for Robust Offline Reinforcement Learning
by: Li, Mingxuan, et al.
Published: (2026)
by: Li, Mingxuan, et al.
Published: (2026)
Deep Double Q-learning
by: Nagarajan, Prabhat, et al.
Published: (2025)
by: Nagarajan, Prabhat, et al.
Published: (2025)
Similar Items
-
Learning Distinguishable Representations in Deep Q-Networks for Linear Transfer
by: Sathish, Sooraj, et al.
Published: (2025) -
Full-Gradient Successor Feature Representations
by: Shrirao, Ritish, et al.
Published: (2026) -
Generalized Fitted Q-Iteration with Clustered Data
by: Hu, Liyuan, et al.
Published: (2025) -
CLIP-RL: Aligning Language and Policy Representations for Task Transfer in Reinforcement Learning
by: Gautam, Chainesh, et al.
Published: (2025) -
Finite-Time Bounds for Average-Reward Fitted Q-Iteration
by: Lee, Jongmin, et al.
Published: (2025)