360 search results - page 9 / 72 » Combining Learned Discrete and Continuous Action Models |
AROBOTS
1999
14 years 9 months ago
1999
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
106
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AIPS
2006
14 years 11 months ago
2006
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
AIPS
2008
14 years 11 months ago
2008
When controlling an autonomous system, it is inefficient or sometimes impossible for the human operator to specify detailed commands. Instead, the field of AI autonomy has develop...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Reinforcement learning deals with learning optimal or near optimal policies while interacting with the environment. Application domains with many continuous variables are difficul...
ICCV
2005
IEEE
15 years 3 months ago
2005
IEEE
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...