Decision Making
480 papers
Papers per year
5
6
9
6
9
7
17
10
12
11
9
3
12
27
26
33
45
38
60
80
55
'10
'15
'20
'25
Papers
Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning
AAAI 2025
Learning with contextual information in non-stationary environments
L4DC 2025
Leveraging LLMs to Streamline the Review of Public Funding Applications
EMNLP 2025
Limit-sure Reachability for Small Memory Policies in POMDPs is NP-complete
UAI 2025
LLM Agents Can Be Choice-Supportive Biased Evaluators: An Empirical Study
AAAI 2025
Locally Convex Global Loss Network for Decision-Focused Learning
AAAI 2025
Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling
ACL 2025
Lower Bound on Howard Policy Iteration for Deterministic Markov Decision Processes
UAI 2025
Microfoundation inference for strategic prediction
AISTATS 2025
Multi-Cost-Bounded Reachability Analysis of POMDPs
UAI 2025
Multi-thresholding Good Arm Identification with Bandit Feedback
ACML 2025
Off-policy Predictive Control with Causal Sensitivity Analysis
UAI 2025
ORMind: A Cognitive-Inspired End-to-End Reasoning Framework for Operations Research
ACL 2025
Policy Design in Long-run Welfare Dynamics
ICLR 2025
Rational Decision-Making Agent with Learning Internal Utility Judgment
ICLR 2025
Reconciling Model Multiplicity for Downstream Decision Making
ICLR 2025
Reinforcement Learning from Imperfect Corrective Actions and Proxy Rewards
ICLR 2025
Replication-proof Bandit Mechanism Design with Bayesian Agents
AAAI 2025
Revelations: A Decidable Class of POMDPs with Omega-Regular Objectives
AAAI 2025
Risk-Averse Best Arm Set Identification with Fixed Budget and Fixed Confidence
ACML 2025
Robust Offline Policy Learning with Observational Data from Multiple Sources
AISTATS 2025
Safety in the Face of Adversity: Achieving Zero Constraint Violation in Online Learning with Slowly Changing Constraints
AISTATS 2025
SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories
CVPR 2025
SMoSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks
AAAI 2025
Speculative Reward Model Boosts Decision Making Ability of LLMs Cost-Effectively
ACL 2025