SOTAVerified

Decision Making

Papers

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Showing 5951–6000 of 12311 papers

TitleStatusHype
Learning Planning Abstractions from Language—0
Learning Policies for Adaptive Tracking with Deep Feature Cascades—0
Learning Policies from Human Data for Skat—0
Inferring Probabilistic Reward Machines from Non-Markovian Reward Processes for Reinforcement Learning—0
Learning Probability Distributions in Macroeconomics and Finance—0
Learning Representational Disparities—0
Learning Representations by Humans, for Humans—0
Learning Robotic Manipulation Skills Using an Adaptive Force-Impedance Action Space—0
Learning Robust Rewards with Adverserial Inverse Reinforcement Learning—0
Learning rule influences recurrent network representations but not attractor structure in decision-making tasks—0
Learning Self-Imitating Diverse Policies—0
Learning Sentence Ordering for Opinion Generation of Debate—0
Learning Service Selection Decision Making Behaviors During Scientific Workflow Development—0
Learning signatures of decision making from many individuals playing the same game—0
Learning Stock Market Sentiment Lexicon and Sentiment-Oriented Word Vector from StockTwits—0
Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization—0
Learning Strategies in Decentralized Matching Markets under Uncertain Preferences—0
Learning Successor Features with Distributed Hebbian Temporal Memory—0
Learning Symbolic Persistent Macro-Actions for POMDP Solving Over Time—0
Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning—0
Learning Theory and Support Vector Machines - a primer—0
Learning the Preferences of Ignorant, Inconsistent Agents—0
The Amenability Framework: Rethinking Causal Ordering Without Estimating Causal Effects—0
Learning Risk Preferences from Investment Portfolios Using Inverse Optimization—0
Learning to Abstain From Uninformative Data—0
Learning to Abstain in the Presence of Uninformative Data—0
Learning to Activate Relay Nodes: Deep Reinforcement Learning Approach—0
Learning to Act: Novel Integration of Algorithms and Models for Epidemic Preparedness—0
Learning to Advise Humans in High-Stakes Settings—0
Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents—0
Learning to Control on the Fly—0
Learning to Cope with Adversarial Attacks—0
Learning to Decode for Future Success—0
Learning to Defend by Attacking (and Vice-Versa): Transfer of Learning in Cybersecurity Games—0
Learning-to-Defer for Extractive Question Answering—0
Learning to Diagnose: Assimilating Clinical Narratives using Deep Reinforcement Learning—0
Learning to Explain: Prototype-Based Surrogate Models for LLM Classification—0
Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning—0
Learning-to-Fly: Learning-based Collision Avoidance for Scalable Urban Air Mobility—0
Learning to Generate Long-term Future Narrations Describing Activities of Daily Living—0
Learning To Guide Human Decision Makers With Vision-Language Models—0
Learning to Guide Human Experts via Personalized Large Language Models—0
Learning to Learn with Smooth Regularization—0
Learning to Look: Seeking Information for Decision Making via Policy Factorization—0
Learning to Make Adherence-Aware Advice—0
Learning from zero: how to make consumption-saving decisions in a stochastic environment with an AI algorithm—0
Learning to Make Decisions via Submodular Regularization—0
Learning to Minimize Cost-to-Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce—0
Learning to Mix n-Step Returns: Generalizing lambda-Returns for Deep Reinforcement Learning—0
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified