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Rich Representation Language

Known as: RRL 
The Rich Representation Language, often abbreviated as RRL, is a computer animation language specifically designed to facilitate the interaction of… (More)
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Topic mentions per year

Topic mentions per year

1978-2018
05101519782018

Related topics

Related topics

8 relations

Broader (1)

Computer animation
Face Animation ParameterHumanoid animationNECA ProjectSkeletal animation
(More)

Related mentions per year

Related mentions per year

1956-2018
1960198020002020
Rich Representation Language
Virtual world
Computer animation
Virtual actor
Skeletal animation
Humanoid animation

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2007
2007
Compressing rectilinear pictures and minimizing access control lists
We consider a geometric model for the problem of minimizing access control lists (ACLs) in network routers, a model that also has… (More)
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2006
2006
Implementation of two Resilience Mechanisms using Multi Topology Routing and Stub Routers
  • Stein Gjessing
  • Advanced Int'l Conference on Telecommunications…
  • 2006
Resilient Routing Layers (RRL) and Multiple Routing Configurations (MRC) have been proposed as methods to achieve fast recovery… (More)
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2006
2006
Reverse pharmacological correlates of ayurvedic drug actions
Sir Ram Nath Chopra (1882-1973) was a pioneer in the field of experimental pharmacology of indigenous drugs of India. Most of the… (More)
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2004
2004
Verification of Reactive Systems
data type such as lists, can be used to encode numbers, it moreover follows that first-order logic can not characterize such… (More)
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Highly Cited
2003
Highly Cited
2003
Graph kernels and Gaussian processes for relational reinforcement learning
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents… (More)
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2002
2002
RRL: A Rich Representation Language for the Description of Agent Behaviour in NECA
In this paper, we describe the Rich Representation Language (RRL) which is used in the NECA system. The NECA system generates… (More)
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Highly Cited
2001
Highly Cited
2001
Learning to trade via direct reinforcement
We present methods for optimizing portfolios, asset allocations, and trading systems based on direct reinforcement (DR). In this… (More)
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Highly Cited
2001
Highly Cited
2001
Relational Reinforcement Learning
Reinforcement learning [10] is a subtopic of machine learning that is concerned with software systems that learn to behave… (More)
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1991
1991
Automating Inductionless Induction Using Test Sets
The inductionless induction (also called proof by consistency) approach for proving equations by induction from an equational… (More)
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Highly Cited
1988
Highly Cited
1988
A Mechanizable Induction Principle for Equational Specifications
Automating proofs of properties of functions defined on inductively constructed data structures is important in many computer… (More)
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