Autonomous Helicopter Flight via Reinforcement Learning
Kim, H. J., Jordan, Michael I., Sastry, Shankar, Ng, Andrew Y.
–Neural Information Processing Systems
Autonomous helicopter flight represents a challenging control problem, with complex, noisy, dynamics. In this paper, we describe a successful application of reinforcement learning to autonomous helicopter flight.
Neural Information Processing Systems
Dec-31-2004
- Country:
- North America > United States > California > Alameda County > Berkeley (0.14)
- Industry:
- Transportation > Air (1.00)
- Aerospace & Defense > Aircraft (1.00)
- Technology: