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Sequential Decision Making

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Showing 1126–1150 of 1210 papers

TitleStatusHype
Hierarchical State Abstractions for Decision-Making Problems with Computational Constraints—0
Asymmetric Actor Critic for Image-Based Robot Learning—0
Detecting Adversarial Attacks on Neural Network Policies with Visual ForesightCode0
A2-RL: Aesthetics Aware Reinforcement Learning for Image CroppingCode0
Optimal Learning for Sequential Decision Making for Expensive Cost Functions with Stochastic Binary Feedbacks—0
Safety-Aware Algorithms for Adversarial Contextual Bandit—0
Non-Stationary Bandits with Habituation and Recovery Dynamics—0
Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions—0
Learning model-based planning from scratchCode0
Correlational Dueling Bandits with Application to Clinical Treatment in Large Decision Spaces—0
Tableaux for Policy Synthesis for MDPs with PCTL* Constraints—0
The Theory is Predictive, but is it Complete? An Application to Human Perception of Randomness—0
Unlocking the Potential of Simulators: Design with RL in Mind—0
A method for the online construction of the set of states of a Markov Decision Process using Answer Set Programming—0
Boltzmann Exploration Done Right—0
Learning to Mix n-Step Returns: Generalizing lambda-Returns for Deep Reinforcement Learning—0
Answer Set Programming for Non-Stationary Markov Decision Processes—0
On Improving Deep Reinforcement Learning for POMDPsCode0
Using Reinforcement Learning for Demand Response of Domestic Hot Water Buffers: a Real-Life Demonstration—0
Minimizing Maximum Regret in Commitment Constrained Sequential Decision Making—0
Deep Robust Kalman Filter—0
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction—0
Active Learning for Accurate Estimation of Linear Models—0
Tight Bounds for Bandit Combinatorial Optimization—0
Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning—0
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