SOTAVerified

Sequential Decision Making

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 601–650 of 1210 papers

TitleStatusHype
Quantile Off-Policy Evaluation via Deep Conditional Generative Learning—0
Offline Reinforcement Learning via Linear-Programming with Error-Bound Induced Constraints—0
Linear Combinatorial Semi-Bandit with Causally Related Rewards—0
Online Statistical Inference in Decision-Making with Matrix Context—0
Invariant Lipschitz Bandits: A Side Observation Approach—0
Autoregressive BanditsCode0
Reinforced Approximate Exploratory Data Analysis—0
Information-Theoretic Safe Exploration with Gaussian ProcessesCode0
Model-based trajectory stitching for improved behavioural cloning and its applications—0
Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-based Guidance—0
Automaton-Based Representations of Task Knowledge from Generative Language Models—0
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox—0
Is Conditional Generative Modeling all you need for Decision-Making?—0
Continuous Episodic Control—0
Anderson Acceleration for Partially Observable Markov Decision Processes: A Maximum Entropy ApproachCode0
Multi-Environment Pretraining Enables Transfer to Action Limited Datasets—0
A Deep Reinforcement Learning Approach to Rare Event Estimation—0
Don't Watch Me: A Spatio-Temporal Trojan Attack on Deep-Reinforcement-Learning-Augment Autonomous Driving—0
β-Multivariational Autoencoder for Entangled Representation Learning in Video FramesCode0
Dynamical Linear BanditsCode0
Agent-State Construction with Auxiliary InputsCode0
Learning to Follow Instructions in Text-Based GamesCode0
Doubly Inhomogeneous Reinforcement LearningCode0
A Survey on Reinforcement Learning in Aviation Applications—0
Teacher-student curriculum learning for reinforcement learning—0
HSVI can solve zero-sum Partially Observable Stochastic Games—0
Quantum deep recurrent reinforcement learning—0
PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear BanditsCode0
Sequential Decision Making on Unmatched Data using Bayesian Kernel Embeddings—0
Integrating Policy Summaries with Reward Decomposition for Explaining Reinforcement Learning Agents—0
Fine-Grained Session Recommendations in E-commerce using Deep Reinforcement Learning—0
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems—0
Learning on the Edge: Online Learning with Stochastic Feedback Graphs—0
Advice Conformance Verification by Reinforcement Learning agents for Human-in-the-Loop—0
Reinforcement Learning Approach for Multi-Agent Flexible Scheduling Problems—0
Hyperbolic Deep Reinforcement Learning—0
Continuous Monte Carlo Graph SearchCode0
Generalizing Bayesian Optimization with Decision-theoretic Entropies—0
Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient—0
Modeling driver's evasive behavior during safety-critical lane changes:Two-dimensional time-to-collision and deep reinforcement learning—0
Optimistic MLE -- A Generic Model-based Algorithm for Partially Observable Sequential Decision Making—0
Blessing from Human-AI Interaction: Super Reinforcement Learning in Confounded Environments—0
Reinforcement Learning with Non-Exponential Discounting—0
On Efficient Online Imitation Learning via Classification—0
Deep Reinforcement Learning for Adaptive Mesh Refinement—0
Non-monotonic Resource Utilization in the Bandits with Knapsacks ProblemCode0
Graph Neural Networks for Multi-Robot Active Information Acquisition—0
SCALES: From Fairness Principles to Constrained Decision-MakingCode0
Batch Bayesian optimisation via density-ratio estimation with guaranteesCode0
Thompson Sampling with Virtual Helping Agents—0
Show:102550
← PrevPage 13 of 25Next →

No leaderboard results yet.