Decentralized Exploration of a Structured Environment Based on Multi-agent Deep Reinforcement Learning.
Dingjie HeDawei FengHongda JiaHui LiuPublished in: ICPADS (2020)
Keyphrases
- multi agent
- reinforcement learning
- exploration strategy
- multi agent environments
- single agent
- cooperative
- function approximation
- autonomous agents
- multi agent systems
- multiagent environments
- robocup soccer
- active exploration
- reinforcement learning algorithms
- mobile robot
- multi agent based simulation
- multi agent reinforcement learning
- action selection
- complex environments
- multiagent systems
- markov decision process
- state space
- optimal control
- distributed systems
- real time
- intelligent agents
- partially observable markov decision process
- neural network
- multi agent platform
- exploration exploitation
- structured data
- multi robot systems
- markov decision problems
- agent behavior
- multiple agents