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Multi-Objective Reinforcement Learning

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코드

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

https://github.com/JLu2022/DWPI

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Inferring Preferences from Demonstrations in Multi-objective Reinforcement Learning

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

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On Generalization Across Environments In Multi-Objective Reinforcement Learning

https://github.com/MuhangTian/Fair-MORL-AAMAS

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Welfare and Fairness in Multi-objective Reinforcement Learning

https://github.com/NYCU-RL-Bandits-Lab/Q-Pensieve

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Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots

https://github.com/RunzheYang/MORL

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A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation

https://github.com/SafeRL-Lab/Safe-Multi-Objective-MuJoCo

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Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning

https://github.com/abhi-iyer/meta-learning

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Collision Avoidance Robotics Via Meta-Learning (CARML)

https://github.com/algorithmic-alignment-lab/contracts

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Formal Contracts Mitigate Social Dilemmas in Multi-Agent RL

https://github.com/allenai/promptable-behaviors

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Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences

https://github.com/amirbalef/PS_MOMAB

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Piecewise-Stationary Multi-Objective Multi-Armed Bandit with Application to Joint Communications and Sensing

https://github.com/axelabels/DynMORL

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Dynamic Weights in Multi-Objective Deep Reinforcement Learning

https://github.com/baitingzbt/peda

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Scaling Pareto-Efficient Decision Making Via Offline Multi-Objective RL

https://github.com/carolius/Multi-Objective-Reinforcement-Learning-from-AI-Feedback

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Multi-objective Reinforcement learning from AI Feedback

https://github.com/coco0106/MO-STEP

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STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning

https://github.com/ddidacus/mol-moe

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Mol-MoE: Training Preference-Guided Routers for Molecule Generation

https://github.com/deepmind/dm_control

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A Distributional View on Multi-Objective Policy Optimization

https://github.com/dimichai/mo-tndp

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Scalable Multi-Objective Reinforcement Learning with Fairness Guarantees using Lorenz Dominance

https://github.com/docallaghan/tunable-agents

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Exploring the Impact of Tunable Agents in Sequential Social Dilemmas

https://github.com/engineerkong/emorl

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EMORL: Ensemble Multi-Objective Reinforcement Learning for Efficient and Flexible LLM Fine-Tuning

https://github.com/giseung-park/maxmin-morl

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The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithm

https://github.com/google-research/google-research/tree/master/mol_dqn

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Optimization of Molecules via Deep Reinforcement Learning

https://github.com/hisaolabsustc/hyper-morl

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Learning Pareto Set for Multi-Objective Continuous Robot Control

https://github.com/hossam-mossalam/multi-objective-deep-rl

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Multi-Objective Deep Reinforcement Learning

https://github.com/imec-idlab/deep-sea-treasure

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A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark

https://github.com/jesserem/MODCMAC

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Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization

https://github.com/joeljang/rlphf

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Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging

https://github.com/johannes-dornheim/gtlo

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gTLO: A Generalized and Non-linear Multi-Objective Deep Reinforcement Learning Approach

https://github.com/justarter/gmocat

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GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing

https://github.com/lrhammond/lmorl

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Lexicographic Multi-Objective Reinforcement Learning

https://github.com/lucasalegre/morl-baselines

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Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization

https://github.com/marcuxu/psmg

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PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization

https://github.com/minnesotanlp/dynamic-multi-reward-weighting

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Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation

https://github.com/osikazuzanna/bi-objective-clustering

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Navigating Trade-offs: Policy Summarization for Multi-Objective Reinforcement Learning

https://github.com/qianlin04/prmorl

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Policy-regularized Offline Multi-objective Reinforcement Learning

https://github.com/rlacombe/adsorbrl

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AdsorbRL: Deep Multi-Objective Reinforcement Learning for Inverse Catalysts Design

https://github.com/rllab-snu/stage-wise-cmorl

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Stage-Wise Reward Shaping for Acrobatic Robots: A Constrained Multi-Objective Reinforcement Learning Approach

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