https://github.com/sungsoo-ahn/genetic-expert-guided-learning
공식 코드Guiding Deep Molecular Optimization with Genetic Exploration
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/sunlab-osu/MISP
공식 코드An Imitation Game for Learning Semantic Parsers from User Interaction
https://github.com/sunmmyy/otpr
공식 코드Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport
https://github.com/sunyoung98/Brain_Tumor_Detection_XAI
공식 코드Explainability of Deep Neural Networks for Brain Tumor Detection
https://github.com/survival-org/scoring-rules-2024
공식 코드https://github.com/sussexucu/uss_vals_rev
공식 코드https://github.com/sustechgameai/dorl
공식 코드Reinforcement Learning with Dual-Observation for General Video Game Playing
https://github.com/sustechgameai/gameai-platforms
공식 코드Games for Artificial Intelligence Research: A Review and Perspectives
https://github.com/sustechgameai/gameaiplatforms
공식 코드Games for Artificial Intelligence Research: A Review and Perspectives
https://github.com/swarna-kpaul/neoplanner
공식 코드Sequential Planning in Large Partially Observable Environments guided by LLMs
https://github.com/swatikar95/autonomous-fighter-jet-navigation-and-combat
공식 코드Fighter Jet Navigation and Combat using Deep Reinforcement Learning with Explainable AI
https://github.com/swyoon/value-gradient-sampler
공식 코드Value Gradient Sampler: Sampling as Sequential Decision Making
https://github.com/sycamore-1/ucb-moppo
공식 코드UCB-driven Utility Function Search for Multi-objective Reinforcement Learning
https://github.com/sycny/Awesome-Trustworthy-GUI-Agents
공식 코드https://github.com/sycny/chatgraph
공식 코드ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs
https://github.com/sydney-machine-learning/surrogate-assisted-parallel-tempering
공식 코드Surrogate-assisted parallel tempering for Bayesian neural learning
https://github.com/symposiumorganization/dynaformer
공식 코드Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge Prediction
https://github.com/syrgkanislab/optimal_dynamic_regime
공식 코드Inference on Optimal Dynamic Policies via Softmax Approximation
https://github.com/szrlee/GPT-HyperAgent
공식 코드https://github.com/szrlee/ensemble_plus_plus
공식 코드https://github.com/szzexpoi/poem
공식 코드Divide and Conquer: Answering Questions with Object Factorization and Compositional Reasoning
https://github.com/szzexpoi/rex
공식 코드https://github.com/t-montes/viqagent
공식 코드ViQAgent: Zero-Shot Video Question Answering via Agent with Open-Vocabulary Grounding Validation
https://github.com/taichengguo/llm_multiagents_survey_papers
공식 코드Large Language Model based Multi-Agents: A Survey of Progress and Challenges
https://github.com/tailequy/fairness_dataset
공식 코드https://github.com/tajwarfahim/paprika
공식 코드https://github.com/talze/frequency-dropout
공식 코드Enhancing Uncertainty Estimation in Semantic Segmentation via Monte-Carlo Frequency Dropout
https://github.com/tamu-engineering-research/opengridgym
공식 코드OpenGridGym: An Open-Source AI-Friendly Toolkit for Distribution Market Simulation
https://github.com/tang39/DLADA
공식 코드https://github.com/tanyelai/counterfactual-explanations-for-medical-research
공식 코드Beyond Known Reality: Exploiting Counterfactual Explanations for Medical Research
https://github.com/taochenshh/exp4nav
공식 코드https://github.com/taodav/aux-inputs
공식 코드https://github.com/tapilot-crossing/tapilot_code
공식 코드Tapilot-Crossing: Benchmarking and Evolving LLMs Towards Interactive Data Analysis Agents
https://github.com/tatsu-lab/linguistic_calibration
공식 코드https://github.com/tdavislab/verb
공식 코드VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations
https://github.com/team-daniel/mc-cp
공식 코드Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.