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AAAI
2008
14 years 6 days ago
A Fast Data Collection and Augmentation Procedure for Object Recognition
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
Benjamin Sapp, Ashutosh Saxena, Andrew Y. Ng
AGENTS
1999
Springer
14 years 2 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
CONNECTION
2008
178views more  CONNECTION 2008»
13 years 10 months ago
Spoken language interaction with model uncertainty: an adaptive human-robot interaction system
Spoken language is one of the most intuitive forms of interaction between humans and agents. Unfortunately, agents that interact with people using natural language often experienc...
Finale Doshi, Nicholas Roy
AIIDE
2006
13 years 11 months ago
The NERO Video Game
In most modern video games, character behavior is scripted; no matter how many times the player exploits a weakness, that weakness is never repaired. Yet if game characters could ...
Kenneth O. Stanley, Igor Karpov, Risto Miikkulaine...
AROBOTS
2011
13 years 4 months ago
Time-extended multi-robot coordination for domains with intra-path constraints
Abstract— Many applications require teams of robots to cooperatively execute complex tasks. Among these domains are those where successful coordination solutions must respect con...
Edward Gil Jones, M. Bernardine Dias, Anthony Sten...