Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
Fuente:
arXiv
Saved in:
| Main Authors: | Zhou, Chengmin, Kyrki, Ville, Fränti, Pasi, Ruotsalainen, Laura |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
COSBO: Conservative Offline Simulation-Based Policy Optimization
by: Kargar, Eshagh, et al.
Published: (2024)
by: Kargar, Eshagh, et al.
Published: (2024)
Augmented Reinforcement Learning Framework For Enhancing Decision-Making In Machine Learning Models Using External Agents
by: Singh, Sandesh Kumar
Published: (2025)
by: Singh, Sandesh Kumar
Published: (2025)
Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning
by: Bani-Harouni, David, et al.
Published: (2025)
by: Bani-Harouni, David, et al.
Published: (2025)
Fixed-sized clusters $k$-Means
by: Malinen, Mikko I., et al.
Published: (2025)
by: Malinen, Mikko I., et al.
Published: (2025)
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
by: Deutel, Mark, et al.
Published: (2023)
by: Deutel, Mark, et al.
Published: (2023)
Optimal Sequential Decision-Making in Geosteering: A Reinforcement Learning Approach
by: Muhammad, Ressi Bonti, et al.
Published: (2023)
by: Muhammad, Ressi Bonti, et al.
Published: (2023)
Search-Based Adversarial Estimates for Improving Sample Efficiency in Off-Policy Reinforcement Learning
by: Malato, Federico, et al.
Published: (2025)
by: Malato, Federico, et al.
Published: (2025)
Offline Inverse Constrained Reinforcement Learning for Safe-Critical Decision Making in Healthcare
by: Fang, Nan, et al.
Published: (2024)
by: Fang, Nan, et al.
Published: (2024)
MO-MIX: Multi-Objective Multi-Agent Cooperative Decision-Making With Deep Reinforcement Learning
by: Hu, Tianmeng, et al.
Published: (2026)
by: Hu, Tianmeng, et al.
Published: (2026)
Bayesian Decision Making around Experts
by: Ornia, Daniel Jarne, et al.
Published: (2025)
by: Ornia, Daniel Jarne, et al.
Published: (2025)
Dependency Structure Search Bayesian Optimization for Decision Making Models
by: Rajpal, Mohit, et al.
Published: (2023)
by: Rajpal, Mohit, et al.
Published: (2023)
Why the Agent Made that Decision: Contrastive Explanation Learning for Reinforcement Learning
by: Zuo, Rui, et al.
Published: (2024)
by: Zuo, Rui, et al.
Published: (2024)
AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning
by: Xi, Zhiheng, et al.
Published: (2025)
by: Xi, Zhiheng, et al.
Published: (2025)
Scenario-Based Hierarchical Reinforcement Learning for Automated Driving Decision Making
by: Abdelhamid, M. Youssef, et al.
Published: (2025)
by: Abdelhamid, M. Youssef, et al.
Published: (2025)
Efficient Reinforcement Learning from Human Feedback via Bayesian Preference Inference
by: Cercola, Matteo, et al.
Published: (2025)
by: Cercola, Matteo, et al.
Published: (2025)
Multi-Scenario Combination Based on Multi-Agent Reinforcement Learning to Optimize the Advertising Recommendation System
by: Zhao, Yang, et al.
Published: (2024)
by: Zhao, Yang, et al.
Published: (2024)
Fairness-Aware Reinforcement Learning (FAReL): A Framework for Transparent and Balanced Sequential Decision-Making
by: Cimpean, Alexandra, et al.
Published: (2025)
by: Cimpean, Alexandra, et al.
Published: (2025)
Masked Auto-Regressive Variational Acceleration: Fast Inference Makes Practical Reinforcement Learning
by: Gu, Yuxuan, et al.
Published: (2025)
by: Gu, Yuxuan, et al.
Published: (2025)
Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making
by: Wan, Hanxi, et al.
Published: (2024)
by: Wan, Hanxi, et al.
Published: (2024)
Integrating Reason-Based Moral Decision-Making in the Reinforcement Learning Architecture
by: Dargasz, Lisa
Published: (2025)
by: Dargasz, Lisa
Published: (2025)
Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming
by: Eberhardinger, Manuel, et al.
Published: (2024)
by: Eberhardinger, Manuel, et al.
Published: (2024)
Collapsed Inference for Bayesian Deep Learning
by: Zeng, Zhe, et al.
Published: (2023)
by: Zeng, Zhe, et al.
Published: (2023)
On Sequential Bayesian Inference for Continual Learning
by: Kessler, Samuel, et al.
Published: (2023)
by: Kessler, Samuel, et al.
Published: (2023)
Generative Models in Decision Making: A Survey
by: Shao, Xinyu, et al.
Published: (2025)
by: Shao, Xinyu, et al.
Published: (2025)
Multi-Objective Reinforcement Learning for Tactical Decision Making for Trucks in Highway Traffic
by: Pathare, Deepthi, et al.
Published: (2026)
by: Pathare, Deepthi, et al.
Published: (2026)
Infra-Bayesian Reinforcement Learning Agents Outperform Classical RL For Worst-Case Robustness
by: Aryal, Manish, et al.
Published: (2026)
by: Aryal, Manish, et al.
Published: (2026)
SymCircuit: Bayesian Structure Inference for Tractable Probabilistic Circuits via Entropy-Regularized Reinforcement Learning
by: Ju, Y. Sungtaek
Published: (2026)
by: Ju, Y. Sungtaek
Published: (2026)
Market Making Strategies with Reinforcement Learning
by: Vicente, Óscar Fernández
Published: (2025)
by: Vicente, Óscar Fernández
Published: (2025)
Automating Curriculum Learning for Reinforcement Learning using a Skill-Based Bayesian Network
by: Hsiao, Vincent, et al.
Published: (2025)
by: Hsiao, Vincent, et al.
Published: (2025)
LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities
by: Schmied, Thomas, et al.
Published: (2025)
by: Schmied, Thomas, et al.
Published: (2025)
Ontology-Enhanced Decision-Making for Autonomous Agents in Dynamic and Partially Observable Environments
by: Ghanadbashi, Saeedeh, et al.
Published: (2024)
by: Ghanadbashi, Saeedeh, et al.
Published: (2024)
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning
by: Zhai, Yuexiang, et al.
Published: (2024)
by: Zhai, Yuexiang, et al.
Published: (2024)
Rule-Bottleneck Reinforcement Learning: Joint Explanation and Decision Optimization for Resource Allocation with Language Agents
by: Tec, Mauricio, et al.
Published: (2025)
by: Tec, Mauricio, et al.
Published: (2025)
An Inference-Based Architecture for Intent and Affordance Saturation in Decision-Making
by: Ilboudo, Wendyam Eric Lionel, et al.
Published: (2025)
by: Ilboudo, Wendyam Eric Lionel, et al.
Published: (2025)
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport
by: Bouniot, Quentin, et al.
Published: (2023)
by: Bouniot, Quentin, et al.
Published: (2023)
Multi-Robot Path Planning Combining Heuristics and Multi-Agent Reinforcement Learning
by: Peng, Shaoming
Published: (2023)
by: Peng, Shaoming
Published: (2023)
Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning
by: Guo, Zijian, et al.
Published: (2024)
by: Guo, Zijian, et al.
Published: (2024)
Narrative-Guided Reinforcement Learning: A Platform for Studying Language Model Influence on Decision Making
by: Tuladhar, Anup, et al.
Published: (2025)
by: Tuladhar, Anup, et al.
Published: (2025)
Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes
by: Luo, Baiting, et al.
Published: (2024)
by: Luo, Baiting, et al.
Published: (2024)
MoralityGym: A Benchmark for Evaluating Hierarchical Moral Alignment in Sequential Decision-Making Agents
by: Rosen, Simon, et al.
Published: (2026)
by: Rosen, Simon, et al.
Published: (2026)
Similar Items
-
COSBO: Conservative Offline Simulation-Based Policy Optimization
by: Kargar, Eshagh, et al.
Published: (2024) -
Augmented Reinforcement Learning Framework For Enhancing Decision-Making In Machine Learning Models Using External Agents
by: Singh, Sandesh Kumar
Published: (2025) -
Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning
by: Bani-Harouni, David, et al.
Published: (2025) -
Fixed-sized clusters $k$-Means
by: Malinen, Mikko I., et al.
Published: (2025) -
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
by: Deutel, Mark, et al.
Published: (2023)