SOTAVerified

Sequential Decision Making

Papers

Showing 676700 of 1210 papers

TitleStatusHype
Worst-case Performance of Greedy Policies in Bandits with Imperfect Context Observations0
Achieving Long-Term Fairness in Sequential Decision MakingCode0
Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes0
An Online Approach to Solve the Dynamic Vehicle Routing Problem with Stochastic Trip Requests for Paratransit Services0
NovGrid: A Flexible Grid World for Evaluating Agent Response to Novelty0
Model-based Multi-agent Reinforcement Learning: Recent Progress and Prospects0
The Sandbox Environment for Generalizable Agent Research (SEGAR)Code1
The price of unfairness in linear bandits with biased feedback0
Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism0
Curriculum-based Reinforcement Learning for Distribution System Critical Load RestorationCode1
A Trainable Approach to Zero-delay Smoothing Spline Interpolation0
Deep Reinforcement Learning for Entity AlignmentCode1
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions0
Linear Stochastic Bandits over a Bit-Constrained Channel0
Hierarchical Reinforcement Learning with AI Planning ModelsCode0
LISA: Learning Interpretable Skill Abstractions from LanguageCode0
Simulating Network Paths with Recurrent Buffering Units0
A Survey of Explainable Reinforcement Learning0
Sequential Bayesian experimental designs via reinforcement learning0
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization0
MuZero with Self-competition for Rate Control in VP9 Video Compression0
Provable Reinforcement Learning with a Short-Term Memory0
Pre-Trained Language Models for Interactive Decision-MakingCode2
Improved Regret for Differentially Private Exploration in Linear MDP0
Meta-Learning Hypothesis Spaces for Sequential Decision-making0
Show:102550
← PrevPage 28 of 49Next →

No leaderboard results yet.