Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Interactive motion generation from examples
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Interpolation Synthesis of Articulated Figure Motion
IEEE Computer Graphics and Applications
Verbs and Adverbs: Multidimensional Motion Interpolation
IEEE Computer Graphics and Applications
Motion synthesis from annotations
ACM SIGGRAPH 2003 Papers
Automated extraction and parameterization of motions in large data sets
ACM SIGGRAPH 2004 Papers
Precomputing avatar behavior from human motion data
SCA '04 Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation
On-line motion blending for real-time locomotion generation: Research Articles
Computer Animation and Virtual Worlds - Special Issue: The Very Best Papers from CASA 2004
Geostatistical motion interpolation
ACM SIGGRAPH 2005 Papers
Motion modeling for on-line locomotion synthesis
Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation
Analyzing the physical correctness of interpolated human motion
Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation
Behavior planning for character animation
Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation
Fast and accurate goal-directed motion synthesis for crowds
Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation
Tree-Based Batch Mode Reinforcement Learning
The Journal of Machine Learning Research
Machine Learning
Precomputing avatar behavior from human motion data
Graphical Models - Special issue on SCA 2004
Motion patches: building blocks for virtual environments annotated with motion data
ACM SIGGRAPH 2006 Papers
Learning to move autonomously in a hostile world
SIGGRAPH '05 ACM SIGGRAPH 2005 Sketches
Fat graphs: constructing an interactive character with continuous controls
Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation
Proceedings of the 2007 symposium on Interactive 3D graphics and games
Active learning for real-time motion controllers
ACM SIGGRAPH 2007 papers
Responsive characters from motion fragments
ACM SIGGRAPH 2007 papers
Near-optimal character animation with continuous control
ACM SIGGRAPH 2007 papers
Construction and optimal search of interpolated motion graphs
ACM SIGGRAPH 2007 papers
Simulating interactions of avatars in high dimensional state space
Proceedings of the 2008 symposium on Interactive 3D graphics and games
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
Interaction patches for multi-character animation
ACM SIGGRAPH Asia 2008 papers
Synchronized multi-character motion editing
ACM SIGGRAPH 2009 papers
ACM SIGGRAPH Asia 2009 papers
Robust task-based control policies for physics-based characters
ACM SIGGRAPH Asia 2009 papers
Optimizing walking controllers for uncertain inputs and environments
ACM SIGGRAPH 2010 papers
Learning behavior styles with inverse reinforcement learning
ACM SIGGRAPH 2010 papers
Character animation in two-player adversarial games
ACM Transactions on Graphics (TOG)
Motion fields for interactive character locomotion
ACM SIGGRAPH Asia 2010 papers
Motion rings for interactive gait synthesis
I3D '11 Symposium on Interactive 3D Graphics and Games
Space-time planning with parameterized locomotion controllers
ACM Transactions on Graphics (TOG)
ACM Transactions on Applied Perception (TAP)
Planning plausible human animation with environment-aware motion sampling
MIG'11 Proceedings of the 4th international conference on Motion in Games
Real-Time interactive character animation by parallelization of genetic algorithms
MIG'11 Proceedings of the 4th international conference on Motion in Games
Continuous character control with low-dimensional embeddings
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Planning interactive task for intelligent characters
Computer Animation and Virtual Worlds
Learning motion controllers with adaptive depth perception
EUROSCA'12 Proceedings of the 11th ACM SIGGRAPH / Eurographics conference on Computer Animation
Learning motion controllers with adaptive depth perception
Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Multi-domain real-time planning in dynamic environments
Proceedings of the 12th ACM SIGGRAPH/Eurographics Symposium on Computer Animation
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We present a novel approach to learn motion controllers for real-time character animation based on motion capture data. We employ a tree-based regression algorithm for reinforcement learning, which enables us to generate motions that require planning. This approach is more flexible and more robust than previous strategies. We also extend the learning framework to include parameterized motions and interpolation. This enables us to control the character more precisely with a small amount of motion data. Finally, we present results of our algorithm for three different types of controllers.