SOTAVerified

Decision Making

Papers

Showing 101150 of 12311 papers

TitleStatusHype
AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM AgentsCode2
Hierarchical Expert Prompt for Large-Language-Model: An Approach Defeat Elite AI in TextStarCraft II for the First TimeCode2
ForecastBench: A Dynamic Benchmark of AI Forecasting CapabilitiesCode2
Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM ReasoningCode2
iVideoGPT: Interactive VideoGPTs are Scalable World ModelsCode2
Jack of All Trades, Master of Some, a Multi-Purpose Transformer AgentCode2
A Review of Safe Reinforcement Learning: Methods, Theory and ApplicationsCode2
FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character DesignCode2
Large AI Models in Health Informatics: Applications, Challenges, and the FutureCode2
FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision MakingCode2
Fairness Evaluation for Uplift Modeling in the Absence of Ground TruthCode2
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation LearningCode2
Global birdsong embeddings enable superior transfer learning for bioacoustic classificationCode2
GaussianAD: Gaussian-Centric End-to-End Autonomous DrivingCode2
A New Approach to Solving SMAC Task: Generating Decision Tree Code from Large Language ModelsCode2
LLM-PySC2: Starcraft II learning environment for Large Language ModelsCode2
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention NetworksCode2
LVBench: An Extreme Long Video Understanding BenchmarkCode2
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental LearningCode2
Embodied LLM Agents Learn to Cooperate in Organized TeamsCode2
MLAgentBench: Evaluating Language Agents on Machine Learning ExperimentationCode2
Mechanistic understanding and validation of large AI models with SemanticLensCode2
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language ModelsCode2
Dungeons and Data: A Large-Scale NetHack DatasetCode2
BEVCar: Camera-Radar Fusion for BEV Map and Object SegmentationCode2
Alphazero-like Tree-Search can Guide Large Language Model Decoding and TrainingCode2
ExpeL: LLM Agents Are Experiential LearnersCode2
Do As I Can, Not As I Say: Grounding Language in Robotic AffordancesCode2
Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement LearningCode2
Doe-1: Closed-Loop Autonomous Driving with Large World ModelCode2
Disentangling Memory and Reasoning Ability in Large Language ModelsCode2
Aligning Superhuman AI with Human Behavior: Chess as a Model SystemCode2
Distribution-Free, Risk-Controlling Prediction SetsCode2
DrivingSphere: Building a High-fidelity 4D World for Closed-loop SimulationCode2
AGIEval: A Human-Centric Benchmark for Evaluating Foundation ModelsCode2
Digital Player: Evaluating Large Language Models based Human-like Agent in GamesCode2
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph MatchingCode2
DecisionNCE: Embodied Multimodal Representations via Implicit Preference LearningCode2
Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future DirectionsCode2
Diffusion Actor-Critic with Entropy RegulatorCode2
DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language ModelsCode2
Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous DrivingCode2
Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous DrivingCode2
AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-MakingCode2
Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM AgentsCode2
Context is Key: A Benchmark for Forecasting with Essential Textual InformationCode2
Agentic Knowledgeable Self-awarenessCode2
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPRCode2
ADAPT: Action-aware Driving Caption TransformerCode2
CombatVLA: An Efficient Vision-Language-Action Model for Combat Tasks in 3D Action Role-Playing GamesCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4Unverified