Co-occurring keywords · papers mentioning both
Papers
Partially Observable Markov Decision Process Modelling for Assessing Hierarchies
ACML 2020
Pure-Past Linear Temporal and Dynamic Logic on Finite Traces
IJCAI 2020
Strategies for Cooperative UAVs Using Model Predictive Control
IJCAI 2020
An Online Learning Approach to Model Predictive Control
RSS 2019
Building Ethically Bounded AI
AAAI 2019
Conditional Preference Network with Constraints and Uncertainty
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
Learning Actionable Representations with Goal Conditioned Policies
ICLR 2019
Split Q Learning: Reinforcement Learning with Two-Stream Rewards
IJCAI 2019
A Savage-style Utility Theory for Belief Functions
IJCAI 2018
Ask No More: Deciding when to guess in referential visual dialogue
COLING 2018
Interactive Learning and Decision Making: Foundations, Insights & Challenges
IJCAI 2018
Investigating Human Priors for Playing Video Games
ICML 2018
Learning Loop Invariants for Program Verification
NeurIPS 2018
Optimization over Continuous and Multi-dimensional Decisions with Observational Data
NeurIPS 2018
Visualizations for an Explainable Planning Agent
IJCAI 2018
Adaptive Elicitation of Preferences under Uncertainty in Sequential Decision Making Problems
IJCAI 2017
Incremental Decision Making Under Risk with the Weighted Expected Utility Model
IJCAI 2017
Modeling Bias Reduction Strategies in a Biased Agent
IJCAI 2017
Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models
RSS 2017
A Probabilistic Model of Social Decision Making based on Reward Maximization
NeurIPS 2016
Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making
NeurIPS 2016
Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control
ICML 2016
Decisions and Dependence in Influence Diagrams
PGM 2016