Papers with Code 아카이브
Deep Reinforcement Learning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/krasing/DRLearningContinuousControl
https://github.com/krasserm/wdsr
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
https://github.com/ksajan/DDPG-MAPE
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
https://github.com/kshitij-ingale/Reinforcement-Learning
https://github.com/ktkachuk/Atari-with-Q-Learning
https://github.com/ku2482/discor.pytorch
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
https://github.com/ku2482/gail-airl-ppo.pytorch
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
https://github.com/ku2482/rljax
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
https://github.com/ku2482/rltorch
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
https://github.com/ku2482/sac-discrete.pytorch
Dueling Network Architectures for Deep Reinforcement Learning
https://github.com/ku2482/slac.pytorch
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
https://github.com/ku2482/soft-actor-critic.pytorch
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
https://github.com/kushagra06/DDPG
https://github.com/kushagra06/SAC
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
https://github.com/la3lma/Chez
Dueling Network Architectures for Deep Reinforcement Learning
https://github.com/la3lma/chezjulia
Dueling Network Architectures for Deep Reinforcement Learning
https://github.com/labmlai/annotated_deep_learning_paper_implementations
https://github.com/lachisis/multiagent-particle-envs
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
https://github.com/laiyao1/maskplace
MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning
https://github.com/lanqingli1993/focal-iclr
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
https://github.com/lava-lab/safe-slac
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
https://github.com/lbenbaccar/Deep-Reinforcement-Learning-with-Double-Q-Learning
https://github.com/lcswillems/torch-ac
https://github.com/learn-to-race/l2r
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
https://github.com/learnermaxRL/PPO_A2C
https://github.com/leehoon7/flow
Flow: A Modular Learning Framework for Mixed Autonomy Traffic
https://github.com/leggedrobotics/legged_gym
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
https://github.com/leggedrobotics/rsl_rl
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
https://github.com/lexfridman/deeptraffic
https://github.com/lflfdxfn/DPLAN-Implementation
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data
https://github.com/lgerrets/rl18-curiosity
https://github.com/liampetti/DDPG
https://github.com/lireer/ricochet-robot-solver
Rainbow: Combining Improvements in Deep Reinforcement Learning
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.