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Decision Making

Papers

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Showing 11701–11750 of 12311 papers

TitleStatusHype
Revolutionising Role-Playing Games with ChatGPT—0
Revolutionizing Genomics with Reinforcement Learning Techniques—0
Revolutionizing Global Food Security: Empowering Resilience through Integrated AI Foundation Models and Data-Driven Solutions—0
Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle—0
Reward Learning from Suboptimal Demonstrations with Applications in Surgical Electrocautery—0
STIR^2: Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasks—0
Rewards-based image analysis in microscopy—0
REX: Rapid Exploration and eXploitation for AI Agents—0
ReZero: Boosting MCTS-based Algorithms by Backward-view and Entire-buffer Reanalyze—0
RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering—0
RGB to Hyperspectral: Spectral Reconstruction for Enhanced Surgical Imaging—0
Right Place, Right Time! Dynamizing Topological Graphs for Embodied Navigation—0
Rigorous Explanation of Inference on Probabilistic Graphical Models—0
RIS-Assisted UAV for Timely Data Collection in IoT Networks—0
Risk-Adaptive Approaches to Stochastic Optimization: A Survey—0
Risk-Adjusted Valuation for Real Option Decisions—0
Risk-anticipatory autonomous driving strategies considering vehicles' weights, based on hierarchical deep reinforcement learning—0
Risk-Averse Best Arm Set Identification with Fixed Budget and Fixed Confidence—0
Risk-Averse Decision Making Under Uncertainty—0
Risk-Averse Model Predictive Control for Priced Timed Automata—0
Risk-Averse Trust Region Optimization for Reward-Volatility Reduction—0
Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search—0
Risk-Aware Autonomous Driving with Linear Temporal Logic Specifications—0
Risk-aware Classification via Uncertainty Quantification—0
Risk-Aware Distributed Multi-Agent Reinforcement Learning—0
Risk-Aware High-level Decisions for Automated Driving at Occluded Intersections with Reinforcement Learning—0
Risk-Aware Linear Bandits: Theory and Applications in Smart Order Routing—0
Risk-aware linear bandits with convex loss—0
Risk-aware Meta-level Decision Making for Exploration Under Uncertainty—0
Risk-Aware Objective-Based Forecasting in Inertia Management—0
Risk-Aware Reinforcement Learning through Optimal Transport Theory—0
Risk-Aware Transfer in Reinforcement Learning using Successor Features—0
Risk Bounds and Calibration for a Smart Predict-then-Optimize Method—0
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria—0
Risk-Constrained Thompson Sampling for CVaR Bandits—0
Risk factor identification for incident heart failure using neural network distillation and variable selection—0
Risk-informed Resilience Planning of Transmission Systems Against Ice Storms—0
Risk Minimization, Regret Minimization and Progressive Hedging Algorithms—0
Risk Preference Types, Limited Consideration, and Welfare—0
On strategies for risk management and decision making under uncertainty shared across multiple fields—0
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach—0
Risk-Sensitive and Robust Model-Based Reinforcement Learning and Planning—0
Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning—0
Risk-sensitive Reinforcement Learning—0
Risk-Sensitive Reinforcement Learning: a Martingale Approach to Reward Uncertainty—0
Risk Sensitivity in Markov Games and Multi-Agent Reinforcement Learning: A Systematic Review—0
Risk Structures: Towards Engineering Risk-aware Autonomous Systems—0
RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents—0
RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm—0
RLCFR: Minimize Counterfactual Regret by Deep Reinforcement Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified