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» Towards a novel networked learning environment
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ICRA
2010
IEEE
125views Robotics» more  ICRA 2010»
15 years 11 days ago
Inferring the semantics of direction signs in public places
Abstract— Most large-scale public environments provide direction signs to facilitate the orientation for humans and to find their way to a goal location in the environment. Thus...
Jérôme Maye, Luciano Spinello, Rudolp...
AGENTS
1999
Springer
15 years 6 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
98
Voted
CORR
2006
Springer
131views Education» more  CORR 2006»
15 years 1 months ago
A framework of reusable structures for mobile agent development
-- Mobile agents research is clearly aiming towards imposing agent based development as the next generation of tools for writing software. This paper comes with its own contributio...
Tudor Marian, Bogdan Dumitriu, Mihaela Dinsoreanu,...
114
Voted
ICML
2010
IEEE
15 years 2 months ago
3D Convolutional Neural Networks for Human Action Recognition
We consider the fully automated recognition of actions in uncontrolled environment. Most existing work relies on domain knowledge to construct complex handcrafted features from in...
Shuiwang Ji, Wei Xu, Ming Yang, Kai Yu
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 5 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone