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Sequential Decision Making

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Showing 751–800 of 1210 papers

TitleStatusHype
Knowledge-Based Sequential Decision-Making Under Uncertainty—0
Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning—0
Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning—0
Language Guided Exploration for RL Agents in Text Environments—0
Large Sequence Models for Sequential Decision-Making: A Survey—0
Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning—0
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning—0
Latent Variable Algorithms for Multimodal Learning and Sensor Fusion—0
LAVA: Latent Action Spaces via Variational Auto-encoding for Dialogue Policy Optimization—0
Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution—0
Learned Graph Rewriting with Equality Saturation: A New Paradigm in Relational Query Rewrite and Beyond—0
Learning adaptive planning representations with natural language guidance—0
Automaton-Based Representations of Task Knowledge from Generative Language Models—0
Learning-Based UAV Trajectory Optimization with Collision Avoidance and Connectivity Constraints—0
Learning by Repetition: Stochastic Multi-armed Bandits under Priming Effect—0
Learning Cooperation and Online Planning Through Simulation and Graph Convolutional Network—0
Learning Curricula in Open-Ended Worlds—0
Learning Efficient Representations for Reinforcement Learning—0
Learning Fair Policies for Infectious Diseases Mitigation using Path Integral Control—0
Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions—0
Learning Functionally Decomposed Hierarchies for Continuous Navigation Tasks—0
Learning Markov models via low-rank optimization—0
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning—0
Learning Mobile Robot Navigation in the Dense Crowd with Deep Reinforcement Learning—0
Learning on the Edge: Online Learning with Stochastic Feedback Graphs—0
Learning Optimal Solutions via an LSTM-Optimization Framework—0
Learning Planning Abstractions from Language—0
Learning Self-Imitating Diverse Policies—0
Learning to Make Adherence-Aware Advice—0
Learning to Make Decisions via Submodular Regularization—0
Learning to Mix n-Step Returns: Generalizing lambda-Returns for Deep Reinforcement Learning—0
Learning to Recover from Failures using Memory—0
Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning—0
Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning—0
Learning Universal Policies via Text-Guided Video Generation—0
Learning Utilities from Demonstrations in Markov Decision Processes—0
Legion: Best-First Concolic Testing—0
Leveraging In-Context Learning for Language Model Agents—0
Leveraging Offline Data in Linear Latent Bandits—0
Likelihood Ratio Confidence Sets for Sequential Decision Making—0
LinearAPT: An Adaptive Algorithm for the Fixed-Budget Thresholding Linear Bandit Problem—0
Linear Combinatorial Semi-Bandit with Causally Related Rewards—0
Linear Partial Monitoring for Sequential Decision-Making: Algorithms, Regret Bounds and Applications—0
Linear Stochastic Bandits over a Bit-Constrained Channel—0
Listwise Learning to Rank with Deep Q-Networks—0
LLMs for Relational Reasoning: How Far are We?—0
LLM-Stackelberg Games: Conjectural Reasoning Equilibria and Their Applications to Spearphishing—0
Local Differential Privacy for Sequential Decision Making in a Changing Environment—0
Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness—0
Lorenz System State Stability Identification using Neural Networks—0
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