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Sequential Decision Making

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Showing 451–500 of 1210 papers

TitleStatusHype
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search—0
Using General Value Functions to Learn Domain-Backed Inventory Management Policies—0
Safe Sequential Optimization for Switching Environments—0
Efficient Symbolic Policy Learning with Differentiable Symbolic ExpressionCode0
Rethinking Decision Transformer via Hierarchical Reinforcement Learning—0
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving—0
Regret-Minimization Algorithms for Multi-Agent Cooperative Learning Systems—0
High-Dimensional Prediction for Sequential Decision Making—0
Robust Visual Imitation Learning with Inverse Dynamics Representations—0
O3D: Offline Data-driven Discovery and Distillation for Sequential Decision-Making with Large Language Models—0
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes—0
Auction-Based Scheduling—0
Partially Observable Stochastic Games with Neural Perception Mechanisms—0
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
Improving Generalization in Reinforcement Learning Training Regimes for Social Robot NavigationCode0
Pure Exploration under Mediators' Feedback—0
Simple Modification of the Upper Confidence Bound Algorithm by Generalized Weighted AveragesCode0
Bayesian Exploration Networks—0
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
Hindsight-DICE: Stable Credit Assignment for Deep Reinforcement LearningCode0
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