Saved in:
| Main Authors: | Rizvi, Danish, Boyle, David |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.03595 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Dual Actor DDPG for Airborne STAR-RIS Assisted Communications
by: Rizvi, Danish, et al.
Published: (2025)
by: Rizvi, Danish, et al.
Published: (2025)
Preference-Guided Reinforcement Learning for Efficient Exploration
by: Wang, Guojian, et al.
Published: (2024)
by: Wang, Guojian, et al.
Published: (2024)
Probabilistic Constrained Reinforcement Learning with Formal Interpretability
by: Wang, Yanran, et al.
Published: (2023)
by: Wang, Yanran, et al.
Published: (2023)
Inducing, Detecting and Characterising Neural Modules: A Pipeline for Functional Interpretability in Reinforcement Learning
by: Soligo, Anna, et al.
Published: (2025)
by: Soligo, Anna, et al.
Published: (2025)
On Efficient Bayesian Exploration in Model-Based Reinforcement Learning
by: Caron, Alberto, et al.
Published: (2025)
by: Caron, Alberto, et al.
Published: (2025)
Efficient Reinforcement Learning via Decoupling Exploration and Utilization
by: Yang, Jingpu, et al.
Published: (2023)
by: Yang, Jingpu, et al.
Published: (2023)
Hyper: Hyperparameter Robust Efficient Exploration in Reinforcement Learning
by: Wang, Yiran, et al.
Published: (2024)
by: Wang, Yiran, et al.
Published: (2024)
Directly Forecasting Belief for Reinforcement Learning with Delays
by: Wu, Qingyuan, et al.
Published: (2025)
by: Wu, Qingyuan, et al.
Published: (2025)
Conceptual Belief-Informed Reinforcement Learning
by: Gu, Xingrui, et al.
Published: (2024)
by: Gu, Xingrui, et al.
Published: (2024)
Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning
by: Schäfer, Lukas, et al.
Published: (2023)
by: Schäfer, Lukas, et al.
Published: (2023)
Provably Efficient Exploration in Inverse Constrained Reinforcement Learning
by: Yue, Bo, et al.
Published: (2024)
by: Yue, Bo, et al.
Published: (2024)
Theory of Space: Can Foundation Models Construct Spatial Beliefs through Active Exploration?
by: Zhang, Pingyue, et al.
Published: (2026)
by: Zhang, Pingyue, et al.
Published: (2026)
Learning-Driven Exploration for Reinforcement Learning
by: Usama, Muhammad, et al.
Published: (2019)
by: Usama, Muhammad, et al.
Published: (2019)
Efficient Reinforcement Learning for Zero-Shot Coordination in Evolving Games
by: Hui, Bingyu, et al.
Published: (2025)
by: Hui, Bingyu, et al.
Published: (2025)
Efficient Reinforcement Learning for Large Language Models with Intrinsic Exploration
by: Sun, Yan, et al.
Published: (2025)
by: Sun, Yan, et al.
Published: (2025)
Belief-State RWKV for Reinforcement Learning under Partial Observability
by: Xiao, Liu
Published: (2026)
by: Xiao, Liu
Published: (2026)
Goal-Guided Efficient Exploration via Large Language Model in Reinforcement Learning
by: Qi, Yajie, et al.
Published: (2025)
by: Qi, Yajie, et al.
Published: (2025)
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks
by: Xu, Ziping, et al.
Published: (2024)
by: Xu, Ziping, et al.
Published: (2024)
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo
by: Ishfaq, Haque, et al.
Published: (2023)
by: Ishfaq, Haque, et al.
Published: (2023)
Optimistically Optimistic Exploration for Provably Efficient Infinite-Horizon Reinforcement and Imitation Learning
by: Moulin, Antoine, et al.
Published: (2025)
by: Moulin, Antoine, et al.
Published: (2025)
Efficient Incremental Belief Updates Using Weighted Virtual Observations
by: Tolpin, David
Published: (2024)
by: Tolpin, David
Published: (2024)
Heuristic Transformer: Belief Augmented In-Context Reinforcement Learning
by: Dippel, Oliver, et al.
Published: (2025)
by: Dippel, Oliver, et al.
Published: (2025)
Causal Coordinated Concurrent Reinforcement Learning
by: Tse, Tim, et al.
Published: (2024)
by: Tse, Tim, et al.
Published: (2024)
Search Inspired Exploration in Reinforcement Learning
by: Sotirchos, Georgios, et al.
Published: (2026)
by: Sotirchos, Georgios, et al.
Published: (2026)
SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models
by: Rizvi, Md Imbesat Hassan, et al.
Published: (2024)
by: Rizvi, Md Imbesat Hassan, et al.
Published: (2024)
More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling
by: Ishfaq, Haque, et al.
Published: (2024)
by: Ishfaq, Haque, et al.
Published: (2024)
Efficient On-Policy Reinforcement Learning via Exploration of Sparse Parameter Space
by: Zhang, Xinyu, et al.
Published: (2025)
by: Zhang, Xinyu, et al.
Published: (2025)
KEA: Keeping Exploration Alive by Proactively Coordinating Exploration Strategies
by: Yang, Shih-Min, et al.
Published: (2025)
by: Yang, Shih-Min, et al.
Published: (2025)
Efficient Exploration in Deep Reinforcement Learning: A Novel Bayesian Actor-Critic Algorithm
by: Rozanov, Nikolai
Published: (2024)
by: Rozanov, Nikolai
Published: (2024)
Credit Assignment and Efficient Exploration based on Influence Scope in Multi-agent Reinforcement Learning
by: Han, Shuai, et al.
Published: (2025)
by: Han, Shuai, et al.
Published: (2025)
Hybrid Coordinate Descent for Efficient Neural Network Learning Using Line Search and Gradient Descent
by: Hsiao, Yen-Che, et al.
Published: (2024)
by: Hsiao, Yen-Che, et al.
Published: (2024)
Towards Explainable Indoor Localization: Interpreting Neural Network Learning on Wi-Fi Fingerprints Using Logic Gates
by: Gufran, Danish, et al.
Published: (2025)
by: Gufran, Danish, et al.
Published: (2025)
Random Latent Exploration for Deep Reinforcement Learning
by: Mahankali, Srinath, et al.
Published: (2024)
by: Mahankali, Srinath, et al.
Published: (2024)
Model-Free Active Exploration in Reinforcement Learning
by: Russo, Alessio, et al.
Published: (2024)
by: Russo, Alessio, et al.
Published: (2024)
Convex Is Back: Solving Belief MDPs With Convexity-Informed Deep Reinforcement Learning
by: Koutas, Daniel, et al.
Published: (2025)
by: Koutas, Daniel, et al.
Published: (2025)
Solving Robotics Tasks with Prior Demonstration via Exploration-Efficient Deep Reinforcement Learning
by: Shen, Chengyandan, et al.
Published: (2025)
by: Shen, Chengyandan, et al.
Published: (2025)
In-context Exploration-Exploitation for Reinforcement Learning
by: Dai, Zhenwen, et al.
Published: (2024)
by: Dai, Zhenwen, et al.
Published: (2024)
Satisficing Exploration for Deep Reinforcement Learning
by: Arumugam, Dilip, et al.
Published: (2024)
by: Arumugam, Dilip, et al.
Published: (2024)
Reinforcement Learning by Guided Safe Exploration
by: Yang, Qisong, et al.
Published: (2023)
by: Yang, Qisong, et al.
Published: (2023)
Towards Efficient Online Exploration for Reinforcement Learning with Human Feedback
by: Li, Gen, et al.
Published: (2025)
by: Li, Gen, et al.
Published: (2025)
Similar Items
-
Dual Actor DDPG for Airborne STAR-RIS Assisted Communications
by: Rizvi, Danish, et al.
Published: (2025) -
Preference-Guided Reinforcement Learning for Efficient Exploration
by: Wang, Guojian, et al.
Published: (2024) -
Probabilistic Constrained Reinforcement Learning with Formal Interpretability
by: Wang, Yanran, et al.
Published: (2023) -
Inducing, Detecting and Characterising Neural Modules: A Pipeline for Functional Interpretability in Reinforcement Learning
by: Soligo, Anna, et al.
Published: (2025) -
On Efficient Bayesian Exploration in Model-Based Reinforcement Learning
by: Caron, Alberto, et al.
Published: (2025)