Papers with Code 아카이브
Car Racing
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/DSobscure/cgi_drl_platform
공식 코드An Unsupervised Video Game Playstyle Metric via State Discretization
https://github.com/Data-Science-in-Mechanical-Engineering/cheq
공식 코드Contextualized Hybrid Ensemble Q-learning: Learning Fast with Control Priors
https://github.com/HybridRobotics/MPC-CBF
공식 코드Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function
https://github.com/asperti/microracer
공식 코드MicroRacer: a didactic environment for Deep Reinforcement Learning
https://github.com/facebookresearch/dcd
공식 코드Stabilizing Unsupervised Environment Design with a Learned Adversary
https://github.com/ntavanhoeffelen/daif_carracing
공식 코드Deep Active Inference for Pixel-Based Discrete Control: Evaluation on the Car Racing Problem
https://github.com/qiujumin/don-rl
공식 코드Decision-making and control with diffractive optical networks
https://github.com/rddy/pico
공식 코드Pragmatic Image Compression for Human-in-the-Loop Decision-Making
https://github.com/sebastianrisi/ga-world-models
공식 코드https://github.com/vroulet/ilqc
공식 코드https://github.com/zhu-edward/dgsqp
공식 코드A Sequential Quadratic Programming Approach to the Solution of Open-Loop Generalized Nash Equilibria
https://github.com/AdeelMufti/WorldModels
https://github.com/AppliedDataSciencePartners/WorldModels
https://github.com/B-C-WANG/ReinforcementLearningInAutoPilot
https://github.com/DamienLancry/blocking_torcs
Simulated Car Racing Championship: Competition Software Manual
https://github.com/DamienLancry/torcs-1.3.4
Simulated Car Racing Championship: Competition Software Manual
https://github.com/Deepest-Project/WorldModels-A3C
https://github.com/SaremS/WorldModel
https://github.com/Veloc1tyE/Drift
https://github.com/apbose/RLproject_AutonomousNavigation_Torcs
Simulated Car Racing Championship: Competition Software Manual
https://github.com/arunavkonwar/world-models
https://github.com/cataluna84/WorldModels_v1.0
https://github.com/ctallec/world-models
https://github.com/doty-k/world_models
https://github.com/dvij542/offtersim
Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning
https://github.com/fomorians/forward-models
https://github.com/google/brain-tokyo-workshop/tree/master/WANNRelease
https://github.com/gowriaddepalli/ML_DL_Research_collab_base
Deep Reinforcement Learning framework for Autonomous Driving
https://github.com/gunjan99/Review-of-World-Models-using-Latex
https://github.com/hardmaru/WorldModelsExperiments
https://github.com/hdilab/world_model_experiments
https://github.com/hsgrandhi/AIProject
https://github.com/hybridrobotics/car-racing
Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function
https://github.com/jastfkjg/DDPG_Torcs_PyTorch
Simulated Car Racing Championship: Competition Software Manual
https://github.com/lucianzhong/DDPG_to_drive_in_TORCS
Simulated Car Racing Championship: Competition Software Manual
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.