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Sequential Decision Making

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Showing 851–900 of 1210 papers

TitleStatusHype
Automatic Goal Generation using Dynamical Distance Learning—0
Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games—0
Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games—0
Adversarial Environment Generation for Learning to Navigate the WebCode0
Batched Neural Bandits—0
Hyperparameter Transfer Learning with Adaptive Complexity—0
SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning—0
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models—0
Causal Markov Decision Processes: Learning Good Interventions Efficiently—0
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form GamesCode0
Deep Reinforcement Learning for Portfolio Optimization using Latent Feature State Space (LFSS) Module—0
Representation Matters: Offline Pretraining for Sequential Decision Making—0
Patterns, predictions, and actions: A story about machine learning—0
An Analysis of Frame-skipping in Reinforcement Learning—0
MSPM: A Modularized and Scalable Multi-Agent Reinforcement Learning-based System for Financial Portfolio Management—0
Improving Human Decision-Making by Discovering Efficient Strategies for Hierarchical Planning—0
Reinforcement Learning for Freight Booking Control Problems—0
CoordiQ : Coordinated Q-learning for Electric Vehicle Charging Recommendation—0
The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors—0
High-Confidence Off-Policy (or Counterfactual) Variance Estimation—0
GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning—0
Deciding What to Learn: A Rate-Distortion Approach—0
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective—0
Divide-and-Conquer Monte Carlo Tree Search—0
Computing Preimages of Deep Neural Networks with Applications to Safety—0
Learning to Make Decisions via Submodular Regularization—0
Learning to Recover from Failures using Memory—0
Understanding and Leveraging Causal Relations in Deep Reinforcement Learning—0
Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients—0
A Regret bound for Non-stationary Multi-Armed Bandits with Fairness Constraints—0
Autonomous Charging of Electric Vehicle Fleets to Enhance Renewable Generation Dispatchability—0
Off-Policy Optimization of Portfolio Allocation Policies under ConstraintsCode0
Learning Mobile Robot Navigation in the Dense Crowd with Deep Reinforcement Learning—0
Demystify Painting with RL—0
Hindsight and Sequential Rationality of Correlated PlayCode0
Natural Policy Gradient Primal-Dual Method for Constrained Markov Decision Processes—0
Planning with General Objective Functions: Going Beyond Total Rewards—0
Delay and Cooperation in Nonstochastic Linear Bandits—0
On Efficiency in Hierarchical Reinforcement Learning—0
Improving Online Rent-or-Buy Algorithms with Sequential Decision Making and ML Predictions—0
R-learning in actor-critic model offers a biologically relevant mechanism for sequential decision-making—0
LAVA: Latent Action Spaces via Variational Auto-encoding for Dialogue Policy Optimization—0
Modality-Buffet for Real-Time Object Detection—0
A New Bandit Setting Balancing Information from State Evolution and Corrupted ContextCode0
Robust Batch Policy Learning in Markov Decision Processes—0
Reliable Off-policy Evaluation for Reinforcement Learning—0
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial—0
Loss Bounds for Approximate Influence-Based AbstractionCode0
Reinforcement Learning with Efficient Active Feature Acquisition—0
Multi-IRS-assisted Multi-Cell Uplink MIMO Communications under Imperfect CSI: A Deep Reinforcement Learning Approach—0
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