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Sequential Decision Making

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Showing 951–1000 of 1210 papers

TitleStatusHype
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
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?Code1
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
Learning Dynamic Belief Graphs to Generalize on Text-Based GamesCode1
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
PDDLGym: Gym Environments from PDDL ProblemsCode1
Listwise Learning to Rank with Deep Q-Networks—0
Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints—0
Tight Lower Bounds for Combinatorial Multi-Armed Bandits—0
Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic—0
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted PrescriptionCode1
Accelerating Reinforcement Learning for Reaching using Continuous Curriculum Learning—0
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision MakingCode1
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
Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints—0
Thompson Sampling via Local UncertaintyCode0
Policy Learning for Malaria ControlCode0
Adaptive Exploration in Linear Contextual Bandit—0
Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value FunctionsCode1
MABWiser: A Parallelizable Contextual Multi-Armed Bandit Library for PythonCode0
Deep Q-Network for Angry BirdsCode0
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