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Actor model

Known as: Actor (programming), Actors (concurrency), Actor system 
The actor model in computer science is a mathematical model of concurrent computation that treats "actors" as the universal primitives of concurrent… Expand
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Papers overview

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Highly Cited
2018
Highly Cited
2018
Model-free deep reinforcement learning (RL) algorithms have been successfully applied to a range of challenging sequential… Expand
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Highly Cited
2014
Highly Cited
2014
In this paper we consider deterministic policy gradient algorithms for reinforcement learning with continuous actions. The… Expand
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Highly Cited
2010
Highly Cited
2010
Abstract Stochastic actor-based models are models for network dynamics that can represent a wide variety of influences on network… Expand
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Highly Cited
2004
Highly Cited
2004
Abstract Wireless sensor and actor networks (WSANs) refer to a group of sensors and actors linked by wireless medium to perform… Expand
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Highly Cited
1999
Highly Cited
1999
Function approximation is essential to reinforcement learning, but the standard approach of approximating a value function and… Expand
Highly Cited
1999
Highly Cited
1999
Many complex decision making problems like scheduling in manufacturing systems, portfolio management in finance, admission… Expand
Highly Cited
1997
Highly Cited
1997
We present an actor language which is an extension of a simple functional language, and provide an operational semantics for this… Expand
Highly Cited
1992
Highly Cited
1992
We present the a-calculus, a calculus of communicating systems in which one can naturally express processes which have changing… Expand
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Highly Cited
1990
Highly Cited
1990
  • G. Agha
  • MIT Press series in artificial intelligence
  • 1990
  • Corpus ID: 8988447
Abstract : A foundational model of concurrency is developed in this thesis. It examines issues in the design of parallel systems… Expand
Highly Cited
1973
Highly Cited
1973
This paper proposes a modular ACTOR architecture and definitional method for artificial intelligence that is conceptually based… Expand