Imagen de Portada

$β$-DQN: Improving Deep Q-Learning By Evolving the Behavior

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Hongming, Bai, Fengshuo, Xiao, Chenjun, Gao, Chao, Xu, Bo, Müller, Martin
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning
por: Zhang, Hongming, et al.
Publicado: (2023)

A Distance-based Anomaly Detection Framework for Deep Reinforcement Learning
por: Zhang, Hongming, et al.
Publicado: (2021)

Beyond ReLU: Chebyshev-DQN for Enhanced Deep Q-Networks
por: Yazdannik, Saman, et al.
Publicado: (2025)

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning
por: Gao, Chen-Xiao, et al.
Publicado: (2025)

Efficient Preference-based Reinforcement Learning via Aligned Experience Estimation
por: Bai, Fengshuo, et al.
Publicado: (2024)

Diffusion Spectral Representation for Reinforcement Learning
por: Shribak, Dmitry, et al.
Publicado: (2024)

RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors
por: Bai, Fengshuo, et al.
Publicado: (2024)

Hindsight Preference Learning for Offline Preference-based Reinforcement Learning
por: Gao, Chen-Xiao, et al.
Publicado: (2024)

Hybrid DQN-TD3 Reinforcement Learning for Autonomous Navigation in Dynamic Environments
por: He, Xiaoyi, et al.
Publicado: (2025)

Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise
por: Meng, Li, et al.
Publicado: (2022)

A Controlled Study of Double DQN and Dueling DQN Under Cross-Environment Transfer
por: Nasir, Azkaa, et al.
Publicado: (2026)

An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models
por: Pan, Yangchen, et al.
Publicado: (2024)

Monte Carlo Tree Search in the Presence of Transition Uncertainty
por: Kohankhaki, Farnaz, et al.
Publicado: (2023)

Easy Samples Are All You Need: Self-Evolving LLMs via Data-Efficient Reinforcement Learning
por: Yu, Zhiyin, et al.
Publicado: (2026)

Value of Information-Enhanced Exploration in Bootstrapped DQN
por: Plataniotis, Stergios, et al.
Publicado: (2025)

Improving Offline-to-Online Reinforcement Learning with Q Conditioned State Entropy Exploration
por: Zhang, Ziqi, et al.
Publicado: (2023)

Wormhole: Concept-Aware Deep Representation Learning for Co-Evolving Sequences
por: Xu, Kunpeng, et al.
Publicado: (2024)

Suppressing Overestimation in Q-Learning through Adversarial Behaviors
por: Lee, HyeAnn, et al.
Publicado: (2023)

Behavior Backdoor for Deep Learning Models
por: Wang, Jiakai, et al.
Publicado: (2024)

Learn as Individuals, Evolve as a Team: Multi-agent LLMs Adaptation in Embodied Environments
por: Li, Xinran, et al.
Publicado: (2025)

DQN Performance with Epsilon Greedy Policies and Prioritized Experience Replay
por: Perkins, Daniel, et al.
Publicado: (2025)

Behavior-Consistent Deep Reinforcement Learning
por: Hussing, Marcel, et al.
Publicado: (2026)

Scalable In-Context Q-Learning
por: Liu, Jinmei, et al.
Publicado: (2025)

Priors Matter: Addressing Misspecification in Bayesian Deep Q-Learning
por: van der Vaart, Pascal R., et al.
Publicado: (2025)

Learning Distinguishable Representations in Deep Q-Networks for Linear Transfer
por: Sathish, Sooraj, et al.
Publicado: (2025)

Double Successive Over-Relaxation Q-Learning with an Extension to Deep Reinforcement Learning
por: R, Shreyas S
Publicado: (2024)

MergeIT: From Selection to Merging for Efficient Instruction Tuning
por: Cai, Hongyi, et al.
Publicado: (2025)

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs
por: Bai, Sen, et al.
Publicado: (2025)

Deep Double Q-learning
por: Nagarajan, Prabhat, et al.
Publicado: (2025)

Smart Sampling: Self-Attention and Bootstrapping for Improved Ensembled Q-Learning
por: Khan, Muhammad Junaid, et al.
Publicado: (2024)

Large Language Model-Enhanced Multi-Armed Bandits
por: Sun, Jiahang, et al.
Publicado: (2025)

CMKL: Modality-Aware Continual Learning for Evolving Biomedical Knowledge Graphs
por: Radwan, Yousef A., et al.
Publicado: (2026)

Adaptive $Q$-Network: On-the-fly Target Selection for Deep Reinforcement Learning
por: Vincent, Théo, et al.
Publicado: (2024)

Revisiting Essential and Nonessential Settings of Evidential Deep Learning
por: Chen, Mengyuan, et al.
Publicado: (2024)

Ensemble Elastic DQN: A novel multi-step ensemble approach to address overestimation in deep value-based reinforcement learning
por: Ly, Adrian, et al.
Publicado: (2025)

SelfBC: Self Behavior Cloning for Offline Reinforcement Learning
por: Liu, Shirong, et al.
Publicado: (2024)

R-Zero: Self-Evolving Reasoning LLM from Zero Data
por: Huang, Chengsong, et al.
Publicado: (2025)

A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks
por: Agostinelli, Forest, et al.
Publicado: (2021)

Scheduled Curiosity-Deep Dyna-Q: Efficient Exploration for Dialog Policy Learning
por: Niu, Xuecheng, et al.
Publicado: (2024)

Deep Causal Behavioral Policy Learning: Applications to Healthcare
por: Knecht, Jonas, et al.
Publicado: (2025)