Toward a Brain-Inspired System: Deep Recurrent Reinforcement Learning for a Simulated Self-Driving Agent.
Jieneng ChenJingye ChenRuiming ZhangXiaobin HuPublished in: Frontiers Neurorobotics (2019)
Keyphrases
- reinforcement learning
- multi agent
- action selection
- multi agent systems
- learning agent
- learning capabilities
- multi agent environments
- exploration strategy
- single agent
- state abstraction
- decision making
- function approximation
- markov decision process
- intelligent agents
- reinforcement learning agents
- state action
- autonomous agents
- multiagent systems
- real robot
- reward function
- sensory inputs
- autonomous learning
- partially observable
- agent receives
- software agents
- human brain
- agent architecture
- multiple agents
- sensory motor
- learning agents
- optimal control
- reward shaping
- state space
- dynamic environments
- model free
- markov decision processes
- agent model
- decision theoretic
- action space
- recurrent neural networks
- cooperative
- agent learns
- machine learning
- temporal difference
- feed forward
- mobile agents
- multiagent reinforcement learning
- simulated robot
- agent technology