Papers with Code 아카이브

Decision Making

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평가표

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보존된 평가 기록

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코드

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

https://github.com/donamin/llc

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

https://github.com/dpaleka/consistency-forecasting

Approaching Human-Level Forecasting with Language Models

https://github.com/dreamquark-ai/tabnet

TabNet: Attentive Interpretable Tabular Learning

https://github.com/dssg/peeps-chili

Case Study: Predictive Fairness to Reduce Misdemeanor Recidivism Through Social Service Interventions

https://github.com/dtak/policy-summarization-with-user-models-public

Exploring Computational User Models for Agent Policy Summarization

https://github.com/duanyzhi/graph_net

Relational inductive biases, deep learning, and graph networks

https://github.com/dvij542/offtersim

Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning

https://github.com/dwjshift/IL_ADS

Imitation Learning from Observation with Automatic Discount Scheduling

https://github.com/dyth/doublegum

Soft Actor-Critic Algorithms and Applications

https://github.com/ecmwf-lab/ai-models-graphcast

GraphCast: Learning skillful medium-range global weather forecasting

https://github.com/edantoledo/stoix

SPO: Sequential Monte Carlo Policy Optimisation

https://github.com/edmundmills/basalt-competition

SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards

https://github.com/edwardwardward/crypto_ml

Cryptocurrency Portfolio Management with Deep Reinforcement Learning

https://github.com/eecastillo/parkinson_analisis

Machine learning for the diagnosis of Parkinson's disease: A systematic review

https://github.com/eeci/bsim23-voi-examples

Rationalising data collection for supporting decision making in building energy systems using Value of Information analysis

https://github.com/electronicarts/interactive_training

Towards Interactive Training of Non-Player Characters in Video Games

https://github.com/elitalobo/Hierarchical-RL-Algorithms

Learning Actionable Representations with Goal-Conditioned Policies

https://github.com/elizavetasemenova/priorCVAE_jax

Federated Learning for Non-factorizable Models using Deep Generative Prior Approximations

https://github.com/elsalmi/LendingClub

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

https://github.com/emunaran/stochastic-human-driving-policies-drl

Generative Adversarial Imitation Learning

https://github.com/engellab/neuralflow

Learning non-stationary Langevin dynamics from stochastic observations of latent trajectories

https://github.com/epfl-imos/sym-q

Sym-Q: Adaptive Symbolic Regression via Sequential Decision-Making

https://github.com/ercumentilhan/advice-imitation-reuse

Action Advising with Advice Imitation in Deep Reinforcement Learning

https://github.com/ericborn/binarybot

TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game

https://github.com/erickrosete/tacorl

Latent Plans for Task-Agnostic Offline Reinforcement Learning

https://github.com/ermongroup/dail

Domain Adaptive Imitation Learning

https://github.com/ermongroup/multiagent-gail

Multi-Agent Generative Adversarial Imitation Learning

https://github.com/ethanluoyc/compile-jax

CompILE: Compositional Imitation Learning and Execution

https://github.com/evangravelle/AI-projects

Thinking Fast and Slow with Deep Learning and Tree Search

https://github.com/eyounx/virtualtaobao

Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning

https://github.com/facebookresearch/EgoTV

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

https://github.com/facebookresearch/Horizon

Doubly Robust Off-policy Value Evaluation for Reinforcement Learning

https://github.com/facebookresearch/House3D

Neural Modular Control for Embodied Question Answering

https://github.com/facebookresearch/ReAgent

Doubly Robust Off-policy Value Evaluation for Reinforcement Learning

https://github.com/facebookresearch/SegmPred

Predicting Deeper into the Future of Semantic Segmentation

https://github.com/facebookresearch/end-to-end-negotiator

Hierarchical Text Generation and Planning for Strategic Dialogue

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.