Risk-Aware Reward Shaping of Reinforcement Learning Agents for Autonomous Driving.
Lin-Chi WuZengjie ZhangSofie HaesaertZhiqiang MaZhiyong SunPublished in: IECON (2023)
Keyphrases
- reinforcement learning agents
- autonomous driving
- reward shaping
- reinforcement learning
- grand challenge
- state abstraction
- dynamic environments
- reinforcement learning algorithms
- stereo vision
- state space
- multi agent environments
- function approximation
- vision algorithms
- complex domains
- transfer learning
- machine learning
- model free
- optimal policy
- path planning
- markov decision processes
- temporal difference
- learning algorithm
- multi agent
- learning process
- mobile robot
- supervised learning
- markov decision problems
- monte carlo
- markov decision process
- action selection