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Table 1 illustrates possible behavior levels within the robotic soccer domain.

in CMUnited-98: RoboCup-98 Simulator World Champion Team
by Peter Stone, Manuela Veloso, Patrick Riley 1999
"... In PAGE 8: ... Table1 : Examples of different behavior levels. The low-level behaviors, such as ball interception and passing, are external behaviors involving direct action in the environment.... ..."
Cited by 8

Table 1 illustrates possible behavior levels within the robotic soccer domain.

in CMUnited-98: Robocup-98 simulator world champion team
by Peter Stone, Manuela Veloso, Patrick Riley 1999
"... In PAGE 8: ... Table1 : Examples of different behavior levels. The low-level behaviors, such as ball interception and passing, are external behaviors involving direct action in the environment.... ..."
Cited by 8

Table 2 illustrates our set of learned behavior levels within the simulated robotic soccer domain. We identify a useful low-level skill that must be learned before moving on to higher-level strategies. Then we build upon it to create higher-level multiagent and team behaviors. Full details regarding the training and testing of each learned behavior are reported in [17].

in
by unknown authors
"... In PAGE 4: ... Table2 . Examples of different behavior levels in robotic soccer.... ..."

Table 2 illustrates our set of learned behavior levels within the simulated robotic soccer domain. We identify a useful low-level skill that must be learned before moving on to higher-level strategies. Then we build upon it to create higher-level multiagent and team behaviors. Full details regarding the training and testing of each learned behavior are reported in [17].

in AT&T Labs — Research
by Peter Stone, Manuela Veloso
"... In PAGE 4: ... Table2 . Examples of different behavior levels in robotic soccer.... ..."

Table 1 illustrates possible behavior levels within the robotic soccer domain. Because of the complexity of the domain, it is futile to try to learn intelligent behaviors straight from the primitives provided by the server. Instead, we iden- ti ed useful low-level skills that must be learned before moving on to higher level strategies. Using our own experience and insights to help the clients learn, we acted as human coaches do when they teach young children how to play real soccer.

in The CMUnited-97 Simulator Team
by Peter Stone, Manuela Veloso 1998
"... In PAGE 5: ... Table1 . Examples of di erent behavior levels.... ..."
Cited by 27

Table 1. Examples of di#0Berent behavior levels.

in The CMUnited-97 simulator team
by Peter Stone, Manuela Veloso 1998
"... In PAGE 5: ...Table1 illustrates possible behavior levels within the robotic soccer domain. Because of the complexity of the domain, it is futile to try to learn intelligent behaviors straight from the primitives provided by the server.... ..."
Cited by 27

Table 8: Advantages of (simulated) robotic soccer as a MAS testbed

in Multiagent Systems: A Survey from a Machine Learning Perspective
by Peter Stone, Manuela Veloso 2000
Cited by 208

Table 9: Advantages of (simulated) robotic soccer as a MAS testbed

in Multiagent Systems: A Survey from a Machine Learning Perspective
by P. Stone, M. Veloso 2000
Cited by 208

Table 9: Advantages of (simulated) robotic soccer as a MAS testbed

in Multiagent Systems: A Survey from a Machine Learning Perspective
by Peter Stone, Manuela Veloso 2000
Cited by 208

Table 3. Scores for 5 games between Soccer Spaniels and Dynamic Rollers simulated robot soccer teams.

in Submissions
by Key Note, Speaker Phillip Adams 2001
"... In PAGE 6: ...010 Post hoc analysis (see Table 2) of total sleep duration on afternoon shift shows the three family types as significantly different with those nurses partnered with children recording the least sleep hours. Post hoc analysis of the total sleep duration across the 28-day roster cycle (see Table3... ..."
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