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Sequential Decision Making

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Showing 401–450 of 1210 papers

TitleStatusHype
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control—0
Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPsCode0
Autonomous Tree-search Ability of Large Language Models—0
Imitation Learning from Purified DemonstrationsCode0
Evaluating Explanation Methods for Vision-and-Language Navigation—0
Global Convergence of Policy Gradient Methods in Reinforcement Learning, Games and Control—0
Optimal Sequential Decision-Making in Geosteering: A Reinforcement Learning Approach—0
Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods—0
Learning to Reach Goals via DiffusionCode0
Towards a Unified Framework for Sequential Decision Making—0
Learning to Make Adherence-Aware Advice—0
TraCE: Trajectory Counterfactual Explanation ScoresCode0
State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding—0
Delays in Reinforcement Learning—0
Safe POMDP Online Planning via Shielding—0
Interactively Teaching an Inverse Reinforcement Learner with Limited FeedbackCode0
Efficient quantum recurrent reinforcement learning via quantum reservoir computing—0
Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning—0
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning—0
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit RateCode0
INTAGS: Interactive Agent-Guided Simulation—0
Pure Exploration under Mediators' Feedback—0
Improving Generalization in Reinforcement Learning Training Regimes for Social Robot NavigationCode0
Simple Modification of the Upper Confidence Bound Algorithm by Generalized Weighted AveragesCode0
Bayesian Exploration Networks—0
Out of the Cage: How Stochastic Parrots Win in Cyber Security EnvironmentsCode1
LaGR-SEQ: Language-Guided Reinforcement Learning with Sample-Efficient QueryingCode0
A Robust Policy Bootstrapping Algorithm for Multi-objective Reinforcement Learning in Non-stationary Environments—0
Intrinsically Motivated Hierarchical Policy Learning in Multi-objective Markov Decision Processes—0
IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making—0
Value-Distributional Model-Based Reinforcement LearningCode0
Multimodal Pretrained Models for Verifiable Sequential Decision-Making: Planning, Grounding, and Perception—0
Bayesian Inverse Transition Learning for Offline Settings—0
FLARE: Fingerprinting Deep Reinforcement Learning Agents using Universal Adversarial MasksCode0
Deep Reinforcement Learning for Robust Goal-Based Wealth Management—0
DIP-RL: Demonstration-Inferred Preference Learning in Minecraft—0
On the Expressivity of Multidimensional Markov Reward—0
Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors—0
Hindsight-DICE: Stable Credit Assignment for Deep Reinforcement LearningCode0
Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop FeedbackCode1
Online Learning with Costly Features in Non-stationary EnvironmentsCode0
Non-stationary Delayed Combinatorial Semi-Bandit with Causally Related Rewards—0
POMDP inference and robust solution via deep reinforcement learning: An application to railway optimal maintenanceCode0
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions—0
Probabilistic Constrained Reinforcement Learning with Formal InterpretabilityCode0
FAIRO: Fairness-aware Adaptation in Sequential-Decision Making for Human-in-the-Loop Systems—0
BOF-UCB: A Bayesian-Optimistic Frequentist Algorithm for Non-Stationary Contextual Bandits—0
ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource AllocationCode1
TGRL: An Algorithm for Teacher Guided Reinforcement Learning—0
Generative Flow Networks: a Markov Chain Perspective—0
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