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AGENTS
1999
Springer
13 years 12 months ago
Team-Partitioned, Opaque-Transition Reinforcement Learning
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
Peter Stone, Manuela M. Veloso
FCCM
1998
IEEE
107views VLSI» more  FCCM 1998»
13 years 12 months ago
Frequency-Domain Sonar Processing in FPGAs and DSPs
Over the past year we have been exploring the use of FPGA-based custom computing machines for several sonar beamforming applications, including time-domain beamforming[1], frequen...
Paul Graham, Brent E. Nelson
IFIP
1994
Springer
13 years 11 months ago
Exploring user interfaces to improve learning outcomes
The concept of information landscapes has been a constant theme in the development of interactive multimedia packages. For the interface and access to this information to be effec...
John G. Hedberg, Barry Harper, Christine Brown, Ro...
ATAL
2007
Springer
13 years 11 months ago
Determining confidence when integrating contributions from multiple agents
Integrating contributions received from other agents is an essential activity in multi-agent systems (MASs). Not only must related contributions be integrated together, but the co...
Raphen Becker, Daniel D. Corkill
CLUSTER
2009
IEEE
13 years 11 months ago
24/7 Characterization of petascale I/O workloads
Abstract--Developing and tuning computational science applications to run on extreme scale systems are increasingly complicated processes. Challenges such as managing memory access...
Philip H. Carns, Robert Latham, Robert B. Ross, Ka...