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Sequential Decision Making

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TitleStatusHype
The Medkit-Learn(ing) Environment: Medical Decision Modelling through SimulationCode1
Curriculum Design for Teaching via Demonstrations: Theory and ApplicationsCode0
Meta-Learning Reliable Priors in the Function Space—0
Heuristic-Guided Reinforcement Learning—0
Be Considerate: Objectives, Side Effects, and Deciding How to Act—0
Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning—0
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning—0
Techniques Toward Optimizing Viewability in RTB Ad Campaigns Using Reinforcement Learning—0
Robust optimal policies for team Markov games—0
Bandit based centralized matching in two-sided markets for peer to peer lending—0
Data-Efficient Reinforcement Learning for Malaria Control—0
Regret and Cumulative Constraint Violation Analysis for Distributed Online Constrained Convex Optimization—0
Statistical Inference with M-Estimators on Adaptively Collected Data—0
Universal Off-Policy EvaluationCode0
Reinforcement Learning using Guided Observability—0
Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control ProblemCode1
Discovering an Aid Policy to Minimize Student Evasion Using Offline Reinforcement Learning—0
Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images—0
Jamming-Resilient Path Planning for Multiple UAVs via Deep Reinforcement Learning—0
Ecole: A Library for Learning Inside MILP SolversCode0
Learning-Based UAV Trajectory Optimization with Collision Avoidance and Connectivity Constraints—0
Online Convex Optimization with Continuous Switching Constraint—0
Forward and Backward Bellman equations improve the efficiency of EM algorithm for DEC-POMDP—0
Situated Language Learning via Interactive Narratives—0
Encrypted Linear Contextual Bandit—0
Meta-Learning for Planning: Automatic Synthesis of Sample Based Planners—0
Optimal sequential decision making with probabilistic digital twins—0
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
Mixed Policy Gradient: off-policy reinforcement learning driven jointly by data and modelCode1
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
An empirical evaluation of active inference in multi-armed banditsCode1
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