Image de couverture de livre

Enhancing Q-Value Updates in Deep Q-Learning via Successor-State Prediction

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zu, Lipeng, Zhou, Hansong, Zhang, Xiaonan
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Behavior-Adaptive Q-Learning: A Unifying Framework for Offline-to-Online RL
par: Zu, Lipeng, et autres
Publié: (2025)

FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification
par: Jiang, Chutian, et autres
Publié: (2024)

From Static Constraints to Dynamic Adaptation: Sample-Level Constraint Relaxation for Offline-to-Online Reinforcement Learning
par: Zu, Lipeng, et autres
Publié: (2025)

Digi-Q: Learning Q-Value Functions for Training Device-Control Agents
par: Bai, Hao, et autres
Publié: (2025)

The Role of Target Update Frequencies in Q-Learning
par: Weissmann, Simon, et autres
Publié: (2026)

Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples
par: Meng, Li, et autres
Publié: (2021)

Iterated $Q$-Network: Beyond One-Step Bellman Updates in Deep Reinforcement Learning
par: Vincent, Théo, et autres
Publié: (2024)

Learning Model Successors
par: Chang, Yingshan, et autres
Publié: (2025)

Deep Q-Exponential Processes
par: Chang, Zhi, et autres
Publié: (2024)

Distributionally Robust Deep Q-Learning
par: Lu, Chung I, et autres
Publié: (2025)

On the Reduction of Variance and Overestimation of Deep Q-Learning
par: Sabry, Mohammed, et autres
Publié: (2019)

Fast Adaptive Anti-Jamming Channel Access via Deep Q Learning and Coarse-Grained Spectrum Prediction
par: Zhang, Jianshu, et autres
Publié: (2025)

Structured Difference-of-Q via Orthogonal Learning
par: Cao, Defu, et autres
Publié: (2024)

SDM-Q: Cost-Aware Staged Decision-Making for Multi-Omics Classification with Deep Q-Learning
par: Mu, Nan, et autres
Publié: (2026)

SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning
par: Zhang, Shuai, et autres
Publié: (2024)

Learning Successor Features the Simple Way
par: Chua, Raymond, et autres
Publié: (2024)

Peng's Q($λ$) for Conservative Value Estimation in Offline Reinforcement Learning
par: Kim, Byeongchan, et autres
Publié: (2026)

Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model
par: Zhang, Jing, et autres
Publié: (2024)

Moment Matching Q-Learning
par: Yiyan, et autres
Publié: (2026)

Deep Q-Learning with Gradient Target Tracking
par: Park, Bum Geun, et autres
Publié: (2025)

VerifierQ: Enhancing LLM Test Time Compute with Q-Learning-based Verifiers
par: Qi, Jianing, et autres
Publié: (2024)

Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics
par: Grillotti, Luca, et autres
Publié: (2024)

Deep Transfer $Q$-Learning for Offline Non-Stationary Reinforcement Learning
par: Chai, Jinhang, et autres
Publié: (2025)

$β$-DQN: Improving Deep Q-Learning By Evolving the Behavior
par: Zhang, Hongming, et autres
Publié: (2025)

Quantile Q-Learning: Revisiting Offline Extreme Q-Learning with Quantile Regression
par: Gao, Xinming, et autres
Publié: (2025)

Deep Double Q-learning
par: Nagarajan, Prabhat, et autres
Publié: (2025)

Adaptive Action Chunking via Multi-Chunk Q Value Estimation
par: Shin, Yongjae, et autres
Publié: (2026)

Adaptive Federated Learning Defences via Trust-Aware Deep Q-Networks
par: Palit, Vedant
Publié: (2025)

Residual Q-Learning: Offline and Online Policy Customization without Value
par: Li, Chenran, et autres
Publié: (2023)

MuonQ: Enhancing Low-Bit Muon Quantization via Directional Fidelity Optimization
par: Su, Yupeng, et autres
Publié: (2026)

UAV Trajectory Optimization via Improved Noisy Deep Q-Network
par: Hengyu, Zhang, et autres
Publié: (2026)

Universal Approximation Theorem for Deep Q-Learning via FBSDE System
par: Qi, Qian
Publié: (2025)

Dynamic Retail Pricing via Q-Learning -- A Reinforcement Learning Framework for Enhanced Revenue Management
par: Apte, Mohit, et autres
Publié: (2024)

Surrogate Ensemble in Expensive Multi-Objective Optimization via Deep Q-Learning
par: Wu, Yuxin, et autres
Publié: (2026)

Beyond ReLU: Chebyshev-DQN for Enhanced Deep Q-Networks
par: Yazdannik, Saman, et autres
Publié: (2025)

Successor-Predecessor Intrinsic Exploration
par: Yu, Changmin, et autres
Publié: (2023)

Strategically Conservative Q-Learning
par: Shimizu, Yutaka, et autres
Publié: (2024)

Two-Step Q-Learning
par: Vijesh, Antony, et autres
Publié: (2024)

Q&A Label Learning
par: Kawamoto, Kota, et autres
Publié: (2023)

Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning
par: Hong, Joey, et autres
Publié: (2024)