Papers with Code 아카이브
Policy Gradient Methods
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/husthuaan/AAT
https://github.com/husthuaan/AoANet
https://github.com/ifestus/rl
https://github.com/ikostrikov/pytorch-a2c-ppo-acktr-gail
https://github.com/ikostrikov/pytorch-rl
https://github.com/ikostrikov/pytorch-trpo
https://github.com/inoryy/reaver
https://github.com/intellisys-lab/stellaris-sc24
https://github.com/jacksonchen1998/Cold-Start-Reinforcement-Learning-with-Softmax-Policy-Gradient
Cold-Start Reinforcement Learning with Softmax Policy Gradient
https://github.com/jchenghu/sacreeos
https://github.com/jcwleo/curiosity-driven-exploration-pytorch
https://github.com/jcwleo/random-network-distillation-pytorch
https://github.com/jfpettit/flare
https://github.com/jhare96/reinforcement-learning
https://github.com/jiahuei/COMIC-Compact-Image-Captioning-with-Attention
https://github.com/jiahuei/COMIC-Towards-A-Compact-Image-Captioning-Model-with-Attention
https://github.com/jiahuei/Self-Critical-SCST-TensorFlow
https://github.com/joanfmendo/Deep-Reinforcement-Learning-Algorithm-for-Dynamic-Pricing-of-Express-Lanes-with-Multiple-Access-Loca
https://github.com/jongornet14/HyperController
https://github.com/jsztompka/MultiAgent-PPO
https://github.com/jsztompka/PPO-demo
https://github.com/juliusfrost/Research-Paper-Implementations
https://github.com/justinchiu/NeuralDialog
https://github.com/jvidals09/Decentralized-and-multi-agent-control-of-Franka-Emika-Panda-robot-in-continuous-task-execution
https://github.com/jw1401/PPO-Tensorflow-2.0
https://github.com/kangkang59812/GraphCaption
https://github.com/king-zark/self_critical
https://github.com/krasserm/fairseq-image-captioning
https://github.com/ku2482/gail-airl-ppo.pytorch
https://github.com/labmlai/annotated_deep_learning_paper_implementations
High-Dimensional Continuous Control Using Generalized Advantage Estimation
https://github.com/lcswillems/torch-ac
https://github.com/lgerrets/rl18-curiosity
https://github.com/lifelong-ml/lpg-ftw
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting
https://github.com/liuyuemaicha/Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow
https://github.com/liuyuezhang/pyrl
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.