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Examensarbeten och uppsatser / Final Theses

Framläggningar på IDA / Presentations at IDA

Se även framläggningar annonserade hos ISY och ITN i Norrköping / See also presentations announced at ISY and ITN in Norrköping (in Swedish)

If nothing is stated about the presentation language then the presentation is in Swedish.

WExUpp - kommande framläggningar
2018-08-27 - AIICS
Intelligent Formation Control Using Deep Reinforcement Learning
Rasmus Johns
Avancerad (30hp)
kl 13:00, Alan Turing (In English)
In this thesis, deep reinforcement learning is applied to the problem of formation con-
trol to enhance performance. The current state-of-the-art formation control algorithms are
often not adaptive and require a high degree of expertise to tune. By introducing reinforce-
ment learning in combination with a behavior-based formation control algorithm, simply
tuning a reward function can change the entire dynamics of a group. Two different and popular reinforce-
ment algorithms were used: Deep Double Q-Networks (DDQN) and Proximal
Policy Optimization (PPO).

Page responsible: Ola Leifler
Last updated: 2017-04-27