Causal Information Prioritization for Efficient Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Cao, Hongye, Feng, Fan, Yang, Tianpei, Huo, Jing, Gao, Yang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Model-Based Offline Reinforcement Learning with Adversarial Data Augmentation
by: Cao, Hongye, et al.
Published: (2025)
by: Cao, Hongye, et al.
Published: (2025)
Towards Empowerment Gain through Causal Structure Learning in Model-Based RL
by: Cao, Hongye, et al.
Published: (2025)
by: Cao, Hongye, et al.
Published: (2025)
Efficient Reinforcement Learning with Semantic and Token Entropy for LLM Reasoning
by: Cao, Hongye, et al.
Published: (2025)
by: Cao, Hongye, et al.
Published: (2025)
Goal Discovery with Causal Capacity for Efficient Reinforcement Learning
by: Yu, Yan, et al.
Published: (2025)
by: Yu, Yan, et al.
Published: (2025)
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning
by: Liu, Jinyi, et al.
Published: (2023)
by: Liu, Jinyi, et al.
Published: (2023)
Learning to Focus: Prioritizing Informative Histories with Structured Attention Mechanisms in Partially Observable Reinforcement Learning
by: Allegue, Daniel De Dios, et al.
Published: (2025)
by: Allegue, Daniel De Dios, et al.
Published: (2025)
Progressive Generalization Augmentation with Deeply Coupled RND-PPO and Domain-Prioritized Noise Injection for Robust Crop Management Reinforcement Learning
by: Yang, Wu
Published: (2026)
by: Yang, Wu
Published: (2026)
FPGA Divide-and-Conquer Placement using Deep Reinforcement Learning
by: Wang, Shang, et al.
Published: (2024)
by: Wang, Shang, et al.
Published: (2024)
Decoupled Prioritized Resampling for Offline RL
by: Yue, Yang, et al.
Published: (2023)
by: Yue, Yang, et al.
Published: (2023)
CausalGDP: Causality-Guided Diffusion Policies for Reinforcement Learning
by: Xiao, Xiaofeng, et al.
Published: (2026)
by: Xiao, Xiaofeng, et al.
Published: (2026)
Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy
by: Cai, Ruichu, et al.
Published: (2024)
by: Cai, Ruichu, et al.
Published: (2024)
Causal Invariance and Counterfactual Learning Driven Cooperative Game for Multi-Label Classification
by: Fan, Yijia, et al.
Published: (2025)
by: Fan, Yijia, et al.
Published: (2025)
The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning
by: Schoepp, Sheila, et al.
Published: (2025)
by: Schoepp, Sheila, et al.
Published: (2025)
TW-CRL: Time-Weighted Contrastive Reward Learning for Efficient Inverse Reinforcement Learning
by: Li, Yuxuan, et al.
Published: (2025)
by: Li, Yuxuan, et al.
Published: (2025)
Shared-unique Features and Task-aware Prioritized Sampling on Multi-task Reinforcement Learning
by: Lin, Po-Shao, et al.
Published: (2024)
by: Lin, Po-Shao, et al.
Published: (2024)
Transferable Delay-Aware Reinforcement Learning via Implicit Causal Graph Modeling
by: Zhao, Chenran, et al.
Published: (2026)
by: Zhao, Chenran, et al.
Published: (2026)
Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Overview and Perspectives
by: Lin, Runze, et al.
Published: (2024)
by: Lin, Runze, et al.
Published: (2024)
Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization
by: Li, Simin, et al.
Published: (2023)
by: Li, Simin, 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)
Causal-Paced Deep Reinforcement Learning
by: Cho, Geonwoo, et al.
Published: (2025)
by: Cho, Geonwoo, et al.
Published: (2025)
Causal Question Answering with Reinforcement Learning
by: Blübaum, Lukas, et al.
Published: (2023)
by: Blübaum, Lukas, et al.
Published: (2023)
Prioritize Alignment in Dataset Distillation
by: Li, Zekai, et al.
Published: (2024)
by: Li, Zekai, et al.
Published: (2024)
Multi-Agent Reinforcement Learning with Communication-Constrained Priors
by: Yang, Guang, et al.
Published: (2025)
by: Yang, Guang, et al.
Published: (2025)
Efficient Last-iterate Convergence Algorithms in Solving Games
by: Meng, Linjian, et al.
Published: (2023)
by: Meng, Linjian, et al.
Published: (2023)
Guardian: Decoupling Exploration from Safety in Reinforcement Learning
by: Cai, Kaitong, et al.
Published: (2025)
by: Cai, Kaitong, et al.
Published: (2025)
GCHR : Goal-Conditioned Hindsight Regularization for Sample-Efficient Reinforcement Learning
by: Lei, Xing, et al.
Published: (2025)
by: Lei, Xing, et al.
Published: (2025)
Efficient $Q$-Learning and Actor-Critic Methods for Robust Average Reward Reinforcement Learning
by: Xu, Yang, et al.
Published: (2025)
by: Xu, Yang, et al.
Published: (2025)
CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor
by: Ji, Han, et al.
Published: (2025)
by: Ji, Han, et al.
Published: (2025)
Variable-Agnostic Causal Exploration for Reinforcement Learning
by: Nguyen, Minh Hoang, et al.
Published: (2024)
by: Nguyen, Minh Hoang, et al.
Published: (2024)
Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts
by: Zheng, Haizhong, et al.
Published: (2025)
by: Zheng, Haizhong, et al.
Published: (2025)
Thinking Preference Optimization
by: Yang, Wang, et al.
Published: (2025)
by: Yang, Wang, et al.
Published: (2025)
On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games
by: Altabaa, Awni, et al.
Published: (2024)
by: Altabaa, Awni, et al.
Published: (2024)
Provably Efficient Action-Manipulation Attack Against Continuous Reinforcement Learning
by: Luo, Zhi, et al.
Published: (2024)
by: Luo, Zhi, et al.
Published: (2024)
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
by: Xu, Botian, et al.
Published: (2023)
by: Xu, Botian, et al.
Published: (2023)
Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies
by: Kekić, Armin, et al.
Published: (2025)
by: Kekić, Armin, et al.
Published: (2025)
Decentralizing Multi-Agent Reinforcement Learning with Temporal Causal Information
by: Corazza, Jan, et al.
Published: (2025)
by: Corazza, Jan, et al.
Published: (2025)
OPRIDE: Offline Preference-based Reinforcement Learning via In-Dataset Exploration
by: Yang, Yiqin, et al.
Published: (2026)
by: Yang, Yiqin, et al.
Published: (2026)
Causal-Aware Generative Adversarial Networks with Reinforcement Learning
by: Nguyen, Tu Anh Hoang, et al.
Published: (2025)
by: Nguyen, Tu Anh Hoang, et al.
Published: (2025)
Amortized Active Causal Induction with Deep Reinforcement Learning
by: Annadani, Yashas, et al.
Published: (2024)
by: Annadani, Yashas, et al.
Published: (2024)
Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning
by: Lin, Runze, et al.
Published: (2025)
by: Lin, Runze, et al.
Published: (2025)
Similar Items
-
Model-Based Offline Reinforcement Learning with Adversarial Data Augmentation
by: Cao, Hongye, et al.
Published: (2025) -
Towards Empowerment Gain through Causal Structure Learning in Model-Based RL
by: Cao, Hongye, et al.
Published: (2025) -
Efficient Reinforcement Learning with Semantic and Token Entropy for LLM Reasoning
by: Cao, Hongye, et al.
Published: (2025) -
Goal Discovery with Causal Capacity for Efficient Reinforcement Learning
by: Yu, Yan, et al.
Published: (2025) -
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning
by: Liu, Jinyi, et al.
Published: (2023)