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Sequential Decision Making

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Showing 951–1000 of 1210 papers

TitleStatusHype
Reinforcement LearningCode0
Dynamic Bi-Objective Routing of Multiple Vehicles—0
Active Measure Reinforcement Learning for Observation Cost Minimization—0
Causal Bayesian Optimization—0
Implementability of Honest Multi-Agent Sequential Decision-Making with Dynamic Population—0
Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement LearningCode0
Scalable First-Order Methods for Robust MDPs—0
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning—0
iCORPP: Interleaved Commonsense Reasoning and Probabilistic Planning on Robots—0
Actor-Critic Deep Reinforcement Learning for Solving Job Shop Scheduling Problems—0
Sequential Batch Learning in Finite-Action Linear Contextual Bandits—0
Distributed Learning: Sequential Decision Making in Resource-Constrained Environments—0
A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding—0
Learning Sparse Rewarded Tasks from Sub-Optimal DemonstrationsCode0
Off-policy Policy Evaluation For Sequential Decisions Under Unobserved ConfoundingCode0
Learning Discrete State Abstractions With Deep Variational InferenceCode0
Human AI interaction loop training: New approach for interactive reinforcement learning—0
A Farewell to Arms: Sequential Reward Maximization on a Budget with a Giving Up Option—0
Distributional Robustness and Regularization in Reinforcement Learning—0
Exploration-Exploitation in Constrained MDPs—0
Structure-Adaptive Sequential Testing for Online False Discovery Rate Control—0
Reinforcement Learning of Risk-Constrained Policies in Markov Decision ProcessesCode0
Information Directed Sampling for Linear Partial Monitoring—0
Online Batch Decision-Making with High-Dimensional Covariates—0
Weakly-supervised Multi-output Regression via Correlated Gaussian Processes—0
Legion: Best-First Concolic Testing—0
Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints—0
Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic—0
Tight Lower Bounds for Combinatorial Multi-Armed Bandits—0
Listwise Learning to Rank with Deep Q-Networks—0
Accelerating Reinforcement Learning for Reaching using Continuous Curriculum Learning—0
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations—0
Computing the Feedback Capacity of Finite State Channels using Reinforcement LearningCode0
Fairness in Learning-Based Sequential Decision Algorithms: A Survey—0
Statistical Inference of the Value Function for Reinforcement Learning in Infinite Horizon SettingsCode0
A storage expansion planning framework using reinforcement learning and simulation-based optimization—0
On Computation and Generalization of Generative Adversarial Imitation Learning—0
Direct and indirect reinforcement learning—0
Decentralized Multi-Agent Reinforcement Learning with Networked Agents: Recent Advances—0
Risk-Averse Action Selection Using Extreme Value Theory Estimates of the CVaRCode0
Maximum Entropy Monte-Carlo Planning—0
SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional PoliciesCode0
An Optimized and Energy-Efficient Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks—0
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms—0
Planning with Goal-Conditioned PoliciesCode0
Working Memory Graphs—0
One-shot learning and behavioral eligibility traces in sequential decision making—0
A Biologically Plausible Benchmark for Contextual Bandit Algorithms in Precision Oncology Using in vitro DataCode0
Adaptivity in Adaptive Submodularity—0
Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations—0
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