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decision making
173 papers
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large language model
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reinforcement learning
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Papers
Decision-Making with Auto-Encoding Variational Bayes
NIPS 2020
Characterizing Optimal Mixed Policies: Where to Intervene and What to Observe
NIPS 2020
Decisions, Counterfactual Explanations and Strategic Behavior
NIPS 2020
Causal Transfer for Imitation Learning and Decision Making under Sensor-Shift
AAAI 2020
Demixed shared component analysis of neural population data from multiple brain areas
NIPS 2020
Fantastic Answers and Where to Find Them: Immersive Question-Directed Visual Attention
CVPR 2020
From Predictions to Decisions: Using Lookahead Regularization
NIPS 2020
Modelling and Solving Online Optimisation Problems
AAAI 2020
Expectation-Aware Planning: A Unifying Framework for Synthesizing and Executing Self-Explaining Plans for Human-Aware Planning
AAAI 2020
Incorporating Failure Events in Agents’ Decision Making to Improve User Satisfaction
IJCAI 2020
Pure-Past Linear Temporal and Dynamic Logic on Finite Traces
IJCAI 2020
An Online Learning Approach to Model Predictive Control
RSS 2019
Building Ethically Bounded AI
AAAI 2019
Split Q Learning: Reinforcement Learning with Two-Stream Rewards
IJCAI 2019
Evacuate or Not? A POMDP Model of the Decision Making of Individuals in Hurricane Evacuation Zones
UAI 2019
Heuristic Voting as Ordinal Dominance Strategies
AAAI 2019
Conditional Preference Network with Constraints and Uncertainty
IJCAI 2019
A Savage-style Utility Theory for Belief Functions
IJCAI 2018
Visualizations for an Explainable Planning Agent
IJCAI 2018
Ask No More: Deciding when to guess in referential visual dialogue
COLING 2018
Investigating Human Priors for Playing Video Games
ICML 2018
Interactive Learning and Decision Making: Foundations, Insights & Challenges
IJCAI 2018
Optimization over Continuous and Multi-dimensional Decisions with Observational Data
NIPS 2018
Learning Loop Invariants for Program Verification
NIPS 2018
Incremental Decision Making Under Risk with the Weighted Expected Utility Model
IJCAI 2017
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