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Decision Making

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/aixplain/NoRefER

공식 코드

Word-Level ASR Quality Estimation for Efficient Corpus Sampling and Post-Editing through Analyzing Attentions of a Reference-Free Metric

https://github.com/ajyl/mech_int_othellogpt

공식 코드

Emergent Linear Representations in World Models of Self-Supervised Sequence Models

https://github.com/akashghosh/clipsyntel-aaai2024

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CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare

https://github.com/akhtarvision/cal-detr

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Cal-DETR: Calibrated Detection Transformer

https://github.com/aklein1995/exploration_sil_im

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Towards Improving Exploration in Self-Imitation Learning using Intrinsic Motivation

https://github.com/akloss/differentiable_filters

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How to Train Your Differentiable Filter

https://github.com/akshaykr/oracle_cb

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Contextual Semibandits via Supervised Learning Oracles

https://github.com/akshittyagi/intclass

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Fast Intent Classification for Spoken Language Understanding

https://github.com/alaineman/drlcarsim-paper

공식 코드

Comprehensive Training and Evaluation on Deep Reinforcement Learning for Automated Driving in Various Simulated Driving Maneuvers

https://github.com/alan-turing-institute/causal-cyber-defence

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Developing Optimal Causal Cyber-Defence Agents via Cyber Security Simulation

https://github.com/alan-turing-institute/privacy-sdg-toolbox

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TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data

https://github.com/alangee/ijcai19-ts-prototypes

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Explaining Deep Classification of Time-Series Data with Learned Prototypes

https://github.com/alanoursland/neural_networks_use_distance_metrics

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Neural Networks Use Distance Metrics

https://github.com/albvera/bayes_selector

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The Bayesian Prophet: A Low-Regret Framework for Online Decision Making

https://github.com/alcedok/SocialNav_paper

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Perspective-Shifted Neuro-Symbolic World Models: A Framework for Socially-Aware Robot Navigation

https://github.com/aleksa-sukovic/iclr2024-reward-design-for-justifiable-rl

공식 코드

Reward Design for Justifiable Sequential Decision-Making

https://github.com/alelevente/felesh

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A V2X-based Privacy Preserving Federated Measuring and Learning System

https://github.com/alex-yanranwang/awavo

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Probabilistic Constrained Reinforcement Learning with Formal Interpretability

https://github.com/alexa/visitron

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VISITRON: Visual Semantics-Aligned Interactively Trained Object-Navigator

https://github.com/alexanderpaulstevens/counterfactual-explanations

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Generating Feasible and Plausible Counterfactual Explanations for Outcome Prediction of Business Processes

https://github.com/alexbeesonwarwick/offlinerlconstrainedensemble

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Balancing policy constraint and ensemble size in uncertainty-based offline reinforcement learning

https://github.com/alexgoldie/rl-learned-optimization

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Can Learned Optimization Make Reinforcement Learning Less Difficult?

https://github.com/alexisjihyeross/adversarial_recourse

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Learning Models for Actionable Recourse

https://github.com/alextimans/traffic4cast-uncertainty

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Uncertainty Quantification for Image-based Traffic Prediction across Cities

https://github.com/alextzik/distribution_steering_MDP

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Discrete-Time Distribution Steering using Monte Carlo Tree Search

https://github.com/alibabaresearch/advancedliteratemachinery

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Levenshtein OCR

https://github.com/alickzhu/player

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PLAYER*: Enhancing LLM-based Multi-Agent Communication and Interaction in Murder Mystery Games

https://github.com/alihanhyk/invconban

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Inverse Contextual Bandits: Learning How Behavior Evolves over Time

https://github.com/alimama-tech/auctionnet

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AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games

https://github.com/alinlab/oreo

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Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning

https://github.com/allenai/ai2thor

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AI2-THOR: An Interactive 3D Environment for Visual AI

https://github.com/allenai/beep

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Literature-Augmented Clinical Outcome Prediction

https://github.com/allenai/label_rationale_association

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Measuring Association Between Labels and Free-Text Rationales

https://github.com/allenai/rl4lms

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Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization

https://github.com/allenai/sso

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Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills

https://github.com/almost-matching-exactly/addmalts

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Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data

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