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Sequential Decision Making

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

https://github.com/0x1DA9430/Decision-Transformer-vs-Decision-Mamba

공식 코드

Decision Transformer vs. Decision Mamba: Analysing the Complexity of Sequential Decision Making in Atari Games

https://github.com/Aipura/LLM-ARK

공식 코드

Evaluating and Enhancing Large Language Models for Conversational Reasoning on Knowledge Graphs

https://github.com/AndssY/DeMa

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Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?

https://github.com/BaitingLuo/Dynamic_Simplex

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Dynamic Simplex: Balancing Safety and Performance in Autonomous Cyber Physical Systems

https://github.com/CPJKU/score_following_game

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Learning to Listen, Read, and Follow: Score Following as a Reinforcement Learning Game

https://github.com/Deepakgthomas/TSM_RL

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Temporal Shift Reinforcement Learning

https://github.com/Div99/IQ-Learn

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IQ-Learn: Inverse soft-Q Learning for Imitation

https://github.com/EdwardJamesYoung/RL-portfolio-pursuit

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Reinforcement Learning applied to Insurance Portfolio Pursuit

https://github.com/FelipeNuti/diffusion-relative-rewards

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Extracting Reward Functions from Diffusion Models

https://github.com/FilippoAiraldi/global-optimization

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Nonmyopic Global Optimisation via Approximate Dynamic Programming

https://github.com/Healthy-AI/inpole

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How Should We Represent History in Interpretable Models of Clinical Policies?

https://github.com/Hwhitetooth/lirpg

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On Learning Intrinsic Rewards for Policy Gradient Methods

https://github.com/IBM/FormalML

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CertRL: Formalizing Convergence Proofs for Value and Policy Iteration in Coq

https://github.com/IBM/commonsense-rl

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Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines

https://github.com/IBM/parl_agents

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Hierarchical Reinforcement Learning with AI Planning Models

https://github.com/INFLUENCEorg/Approx-IBA-Planning

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Loss Bounds for Approximate Influence-Based Abstraction

https://github.com/Intelligent-Reliable-Autonomous-Systems/WOFOSTGym

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WOFOSTGym: A Crop Simulator for Learning Annual and Perennial Crop Management Strategies

https://github.com/Jaraxxus-Me/LogiCity

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LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation

https://github.com/JasonZhujp/RELIEF

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RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning

https://github.com/JaydenTeoh/MORL-Generalization

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On Generalization Across Environments In Multi-Objective Reinforcement Learning

https://github.com/KaiyangZhou/vsumm-reinforce

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Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward

https://github.com/Karim-53/Reinforcement-Learning-Malaria-Control-KDDCup-2019

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Policy Learning for Malaria Control

https://github.com/Karlmyh/LDP-Contextual-MAB

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Locally Private Nonparametric Contextual Multi-armed Bandits

https://github.com/Lww007/Text-Atari-Agents

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TextAtari: 100K Frames Game Playing with Language Agents

https://github.com/MH-Hou/EARLY

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"Give Me an Example Like This": Episodic Active Reinforcement Learning from Demonstrations

https://github.com/MLIUB/PURE

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Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation

https://github.com/MajidMoghadam2006/deepcars-reinforcement-learning

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A Hierarchical Architecture for Sequential Decision-Making in Autonomous Driving using Deep Reinforcement Learning

https://github.com/Networks-Learning/FairHumanDecisions

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Enhancing the Accuracy and Fairness of Human Decision Making

https://github.com/NikeHop/UniversalPolicies

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Making Universal Policies Universal

https://github.com/NiklasTR/oncoassign

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A Biologically Plausible Benchmark for Contextual Bandit Algorithms in Precision Oncology Using in vitro Data

https://github.com/NymishaBandi/constrained-batch-policy-learning

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Off-Policy Optimization of Portfolio Allocation Policies under Constraints

https://github.com/Philip-Bachman/Sequential-Generation

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Data Generation as Sequential Decision Making

https://github.com/PlusLabNLP/Re-ReST

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Re-ReST: Reflection-Reinforced Self-Training for Language Agents

https://github.com/SaeedNajafi/ac-tagger

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Efficient Sequence Labeling with Actor-Critic Training

https://github.com/StanfordAI4HI/off_policy_confounding

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Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding

https://github.com/UKPLab/ijcai2019-relis

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Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation

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