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Sequential Decision Making

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코드

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

https://github.com/jiangnanhugo/vsr-dpg

공식 코드

Vertical Symbolic Regression via Deep Policy Gradient

https://github.com/jiaruzouu/prb

공식 코드

PageRank Bandits for Link Prediction

https://github.com/jinhaoduan/uprop

공식 코드

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making

https://github.com/johnlyu2/z3alpha

공식 코드

Layered and Staged Monte Carlo Tree Search for SMT Strategy Synthesis

https://github.com/jungtaekkim/losan-lofav

공식 코드

Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization

https://github.com/kallekku/cmcgs

공식 코드

Continuous Monte Carlo Graph Search

https://github.com/kyle8581/Web-Shepherd

공식 코드

Web-Shepherd: Advancing PRMs for Reinforcing Web Agents

https://github.com/lasgroup/adaptive-constraint-learning

공식 코드

Interactively Learning Preference Constraints in Linear Bandits

https://github.com/lava-lab/cool-mc

공식 코드

Co-Activation Graph Analysis of Safety-Verified and Explainable Deep Reinforcement Learning Policies

https://github.com/lava-lab/luiaard

공식 코드

Robust Anytime Learning of Markov Decision Processes

https://github.com/lava-lab/ratm

공식 코드

Robust Active Measuring under Model Uncertainty

https://github.com/lelis-research/common-benchmarks-undervalue-the-generalization-power-of-programmatic-policies

공식 코드

Common Benchmarks Undervalue the Generalization Power of Programmatic Policies

https://github.com/lilly-muyama/deep_rl_diagnosis_pathways

공식 코드

Deep Reinforcement Learning for Personalized Diagnostic Decision Pathways Using Electronic Health Records: A Comparative Study on Anemia and Systemic Lupus Erythematosus

https://github.com/lily-x/combinatorial-rmab

공식 코드

Reinforcement learning with combinatorial actions for coupled restless bandits

https://github.com/lily-x/mirror

공식 코드

Robust Reinforcement Learning Under Minimax Regret for Green Security

https://github.com/linasnas/dexter

공식 코드

Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection

https://github.com/linenus/DRL-For-imbalanced-Classification

공식 코드

Deep Reinforcement Learning for Imbalanced Classification

https://github.com/lio-h-zen/patientsimulator

공식 코드

Exploring the Inquiry-Diagnosis Relationship with Advanced Patient Simulators

https://github.com/ltluttmann/marl4msprp

공식 코드

Learning to Solve the Min-Max Mixed-Shelves Picker-Routing Problem via Hierarchical and Parallel Decoding

https://github.com/lucascjysdl/dgms-for-offline-policy-learning

공식 코드

Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions

https://github.com/machine-teaching-group/ijcai2024-task-embeddings-rl

공식 코드

Learning Embeddings for Sequential Tasks Using Population of Agents

https://github.com/machine-teaching-group/task-embeddings-rl

공식 코드

Learning Embeddings for Sequential Tasks Using Population of Agents

https://github.com/mail-ecnu/text-gym-agents

공식 코드

Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym

https://github.com/manome/python-mab

공식 코드

Simple Modification of the Upper Confidence Bound Algorithm by Generalized Weighted Averages

https://github.com/marcomussi/dlb

공식 코드

Dynamical Linear Bandits

https://github.com/mathieutuli/ltl-gata

공식 코드

Learning to Follow Instructions in Text-Based Games

https://github.com/maximilianigl/DVRL

공식 코드

Deep Variational Reinforcement Learning for POMDPs

https://github.com/mehrdad76/rmdp-lra

공식 코드

Solving Long-run Average Reward Robust MDPs via Stochastic Games

https://github.com/mewtwo1996/relax

공식 코드

ReLAX: Reinforcement Learning Agent eXplainer for Arbitrary Predictive Models

https://github.com/micahcarroll/unimask

공식 코드

UniMASK: Unified Inference in Sequential Decision Problems

https://github.com/microsoft/causica

공식 코드

AVID: Adapting Video Diffusion Models to World Models

https://github.com/microsoft/med-deadend

공식 코드

Medical Dead-ends and Learning to Identify High-risk States and Treatments

https://github.com/microsoft/segar

공식 코드

The Sandbox Environment for Generalizable Agent Research (SEGAR)

https://github.com/midi-lab/steel

공식 코드

Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory

https://github.com/minimaxbrl/minimax-bayes-rl

공식 코드

Minimax-Bayes Reinforcement Learning

https://github.com/montenegroalessandro/bestarmidsrb

공식 코드

Best Arm Identification for Stochastic Rising Bandits

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