411 search results - page 4 / 83 » Learning to Fly: An Application of Hierarchical Reinforcemen... |
AIIDE
2008
13 years 8 months ago
2008
This paper demonstrates the applicability of reinforcement learning for first person shooter bot artificial intelligence. Reinforcement learning is a machine learning technique wh...
IEEEPACT
2008
IEEE
14 years 17 days ago
2008
IEEE
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
ATAL
2006
Springer
13 years 10 months ago
2006
Springer
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
IJCAI
2007
13 years 7 months ago
2007
Deictic representation is a representational paradigm, based on selective attention and pointers, that allows an agent to learn and reason about rich complex environments. In this...
NIPS
1997
13 years 7 months ago
1997
We present a new approach to reinforcement learning in which the policies considered by the learning process are constrained by hierarchies of partially specified machines. This ...