https://github.com/clear-nus/scales
공식 코드SCALES: From Fairness Principles to Constrained Decision-Making
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SCALES: From Fairness Principles to Constrained Decision-Making
Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency
Depth Matters: Multimodal RGB-D Perception for Robust Autonomous Agents
Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning
IGDrivSim: A Benchmark for the Imitation Gap in Autonomous Driving
Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction
Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance
Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes
LLM Guided Evolution - The Automation of Models Advancing Models
Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning
Cross Language Soccer Framework: An Open Source Framework for the RoboCup 2D Soccer Simulation
Cross Language Soccer Framework: An Open Source Framework for the RoboCup 2D Soccer Simulation
MedDec: A Dataset for Extracting Medical Decisions from Discharge Summaries
Fair Conformal Predictors for Applications in Medical Imaging
FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation
Computationally Assisted Quality Control for Public Health Data Streams
Match Point AI: A Novel AI Framework for Evaluating Data-Driven Tennis Strategies
MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection
Evaluating Deep Taylor Decomposition for Reliability Assessment in the Wild
Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions
View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums
ENTMOOT: A Framework for Optimization over Ensemble Tree Models
MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale
Score refinement for confidence-based 3D multi-object tracking
An algorithmic framework for synthetic cost-aware decision making in molecular design
Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models
Discovering Latent Knowledge in Language Models Without Supervision
Playing NetHack with LLMs: Potential & Limitations as Zero-Shot Agents
CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.