Deep Attention Driven Reinforcement Learning (DAD-RL) for Autonomous Vehicle Decision-Making in Dynamic Environment.
Jayabrata ChowdhuryVenkataramanan ShivaramanSumit DangiSuresh SundaramP. B. SujitPublished in: CoRR (2024)
Keyphrases
- dynamic environments
- reinforcement learning
- autonomous vehicles
- path planning
- decision making
- autonomous agents
- reinforcement learning algorithms
- obstacle avoidance
- mobile robot
- action selection
- robot control
- reinforcement learning agents
- function approximation
- state space
- model free
- optimal policy
- collision avoidance
- real environment
- adaptive control
- multi robot
- temporal difference
- autonomous learning
- partially observable domains
- machine learning
- motion planning
- real time
- learning algorithm
- fuzzy logic
- dynamic programming
- action space
- rl algorithms
- multi agent
- transfer learning
- single agent
- learning agent
- multi agent environments
- markov decision processes
- multiagent systems
- pose estimation
- unknown environments
- map building
- robot motion
- changing environment