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Car Racing
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Self-Driving Car Racing: Application of Deep Reinforcement Learning
Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing
Perceptual Similarity for Measuring Decision-Making Style and Policy Diversity in Games
Contextualized Hybrid Ensemble Q-learning: Learning Fast with Control Priors
Distributionally Robust Constrained Reinforcement Learning under Strong Duality
A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo
RaceLens: A Machine Intelligence-Based Application for Racing Photo Analysis
End-to-end Lidar-Driven Reinforcement Learning for Autonomous Racing
Stabilizing Unsupervised Environment Design with a Learned Adversary
DADAgger: Disagreement-Augmented Dataset Aggregation
Decision-making and control with diffractive optical networks
CT-DQN: Control-Tutored Deep Reinforcement Learning
Event Tables for Efficient Experience Replay
Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates
A Sequential Quadratic Programming Approach to the Solution of Open-Loop Generalized Nash Equilibria
MicroRacer: a didactic environment for Deep Reinforcement Learning
Feedback Linearization of Car Dynamics for Racing via Reinforcement Learning
An Unsupervised Video Game Playstyle Metric via State Discretization
Deep Active Inference for Pixel-Based Discrete Control: Evaluation on the Car Racing Problem
Kinematics clustering enables head impact subtyping for better traumatic brain injury prediction
Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning
Pragmatic Image Compression for Human-in-the-Loop Decision-Making
Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning
Sim-To-Real Transfer for Miniature Autonomous Car Racing
Rank Position Forecasting in Car Racing
MADRaS : Multi Agent Driving Simulator
Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning
Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function
A Probabilistic Framework for Imitating Human Race Driver Behavior
Learning Human Objectives by Evaluating Hypothetical Behavior
Challenging On Car Racing Problem from OpenAI gym
Weight Agnostic Neural Networks
Deep Neuroevolution of Recurrent and Discrete World Models
Robust Optimization through Neuroevolution
Interactive Learning with Corrective Feedback for Policies based on Deep Neural Networks
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