Evaluating the Robustness of Deep Reinforcement Learning for Autonomous and Adversarial Policies in a Multi-agent Urban Driving Environment.
Aizaz SharifDusica MarijanPublished in: CoRR (2021)
Keyphrases
- multi agent
- reinforcement learning
- multi agent environments
- reinforcement learning agents
- cooperative
- optimal policy
- agent interactions
- multi agent reinforcement learning
- cooperative multi agent systems
- robocup soccer
- autonomous agents
- multiagent reinforcement learning
- multi agent systems
- policy search
- exploration strategy
- dynamic environments
- real time
- single agent
- markov decision process
- control policies
- robotic systems
- partially observable markov decision processes
- multiagent systems
- state space
- agent behavior
- reinforcement learning algorithms
- decentralized control
- mobile robot
- learning agents
- autonomous entities
- tabula rasa
- autonomous learning
- autonomous systems
- model free
- decision processes
- control policy
- multiple autonomous
- reward function
- temporal difference
- semi autonomous
- multiple agents
- complex environments
- optimal control
- autonomous mental development
- fitted q iteration
- function approximation
- machine learning