Adversarial Deep Reinforcement Learning for Trustworthy Autonomous Driving Policies.
Aizaz SharifDusica MarijanPublished in: CoRR (2021)
Keyphrases
- autonomous driving
- reinforcement learning
- optimal policy
- grand challenge
- policy search
- stereo vision
- multi agent
- markov decision process
- markov decision processes
- function approximation
- reward function
- state space
- partially observable markov decision processes
- vision algorithms
- dynamic programming
- urban traffic
- control policy
- long run
- reinforcement learning algorithms
- temporal difference
- model free
- infinite horizon
- learning algorithm
- multi view
- preprocessing