Towards Brain-inspired System: Deep Recurrent Reinforcement Learning for Simulated Self-driving Agent.
Jieneng ChenJingye ChenRuiming ZhangXiaobin HuPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- multi agent
- action selection
- learning agent
- multi agent systems
- learning capabilities
- state abstraction
- multiagent systems
- human brain
- sensory inputs
- intelligent agents
- partially observable
- agent receives
- exploration strategy
- state action
- reward function
- reinforcement learning agents
- single agent
- state space
- function approximation
- multiple agents
- decision making
- autonomous agents
- agent architecture
- model free
- learning process
- sensory motor
- autonomous learning
- learning agents
- markov decision process
- learning algorithm
- multi agent environments
- dynamic environments
- real robot
- decision theoretic
- action space
- brain tissue
- biologically plausible
- dynamic programming
- feed forward
- cortical surface
- recurrent neural networks
- temporal difference
- simulation model
- optimal control