UW-MARL: Multi-Agent Reinforcement Learning for Underwater Adaptive Sampling using Autonomous Vehicles.
Mehdi RahmatiMohammad NadeemVidyasagar SadhuDario PompiliPublished in: CoRR (2019)
Keyphrases
- multi agent reinforcement learning
- adaptive sampling
- autonomous vehicles
- monte carlo
- path planning
- multi agent
- random sampling
- obstacle avoidance
- multiagent systems
- learning agents
- autonomous agents
- multi agent systems
- reinforcement learning
- robot control
- complex environments
- stochastic games
- multi agent learning
- cooperative
- mobile robot
- real time
- artificial intelligence
- active learning
- e learning
- distributed control
- genetic algorithm
- neural network