https://github.com/zifanwu/plan-to-predict
공식 코드Plan To Predict: Learning an Uncertainty-Foreseeing Model for Model-Based Reinforcement Learning
Papers with Code 아카이브
Decision Making
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zigned/nuplan_zigned
공식 코드Reinforced Imitative Trajectory Planning for Urban Automated Driving
https://github.com/zilin-zhao/iros25-supp
공식 코드https://github.com/zipjiang/rora
공식 코드https://github.com/ziqian2000/smiling
공식 코드Diffusing States and Matching Scores: A New Framework for Imitation Learning
https://github.com/ziyadsheeba/qfat
공식 코드https://github.com/ziyuanma/dcc
공식 코드Learning Selective Communication for Multi-Agent Path Finding
https://github.com/zjlab-ammi/llm4rl
공식 코드Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach
https://github.com/zjlab-ammi/llm4teach
공식 코드Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents
https://github.com/zjs919/irml
공식 코드https://github.com/zjt-gpu/fdf
공식 코드https://github.com/zju-vipa/odyssey
공식 코드Parallelized Planning-Acting for Efficient LLM-based Multi-Agent Systems
https://github.com/zju-vipa/protopformer
공식 코드https://github.com/zjulihongxin/memonav
공식 코드https://github.com/zjunlp/knowself
공식 코드https://github.com/zminton/TrolleyMod
공식 코드https://github.com/zowiezhang/valuedcg
공식 코드ValueDCG: Measuring Comprehensive Human Value Understanding Ability of Language Models
https://github.com/zrc0622/HIRL4UCAV
공식 코드An Imitative Reinforcement Learning Framework for Autonomous Dogfight
https://github.com/zubair-irshad/Awesome-Implicit-NeRF-Robotics
공식 코드https://github.com/zwc662/PAGAR
공식 코드Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment
https://github.com/zwq2018/embodied_reasoner
공식 코드Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks
https://github.com/zxj32/GCN-GRU
공식 코드Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data
https://github.com/zzqzzq/bml
공식 코드Binocular Mutual Learning for Improving Few-shot Classification
https://github.com/zzs95/RSP_COVID
공식 코드Region-specific Risk Quantification for Interpretable Prognosis of COVID-19
https://gitlab.ai.vub.ac.be/mreymond/morl-guide
공식 코드A Practical Guide to Multi-Objective Reinforcement Learning and Planning
https://gitlab.com/HUMAINT/humaint-fatml
공식 코드Addressing multiple metrics of group fairness in data-driven decision making
https://gitlab.com/cs230_stock_analysis/stock_price_prediction
공식 코드https://gitlab.com/drti/mmgp
공식 코드https://gitlab.com/rwth-itsec/explainability-analyzed-dga-models
공식 코드https://gitlab.com/sm-ai-team/simplemind
공식 코드https://gitlab.com/smanicka/BEN
공식 코드Modeling somatic computation with non-neural bioelectric networks
https://gitlab.com/vanparys/BootstrapRobustAnalytics.jl
공식 코드https://gitlab.com/vanparys/dusa
공식 코드https://gitlab.com/xrl2/chat4xai
공식 코드An AI Chatbot for Explaining Deep Reinforcement Learning Decisions of Service-oriented Systems
https://huggingface.co/mims-harvard/ToolRAG-T1-GTE-Qwen2-1.5B
공식 코드TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools
https://huggingface.co/mims-harvard/TxAgent-T1-Llama-3.1-8B
공식 코드TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.