Citation Impact
Citing Papers
Deep visual analogy-making
2015
Is multiagent deep reinforcement learning the answer or the question? A brief survey
2018
Reinforcement Learning, Fast and Slow
2019 StandoutNobel
Neuroscience-Inspired Artificial Intelligence
2017 StandoutNobel
Hybrid inverse motion control for virtual characters interacting with sound synthesis
2011
Science & art of body percussion: a review
2013 Standout
Learning agile and dynamic motor skills for legged robots
2019 Standout
CasADi: a software framework for nonlinear optimization and optimal control
2018 Standout
Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications
2020 Standout
A Tucker Deep Computation Model for Mobile Multimedia Feature Learning
2017 Standout
Human-level performance in 3D multiplayer games with population-based reinforcement learning
2019 StandoutScienceNobel
A Two-Stage Trajectory Optimization Strategy for Articulated Bodies With Unscheduled Contact Sequences
2016
Deep Reinforcement Learning: A Survey
2022 Standout
Computer-inspired quantum experiments
2020 StandoutNobel
A survey and critique of multiagent deep reinforcement learning
2019
Counterfactual Multi-Agent Policy Gradients
2018 Standout
A deep learning framework for character motion synthesis and editing
2016
Iterative Training of Dynamic Skills Inspired by Human Coaching Techniques
2014 Standout
Towards an integration of deep learning and neuroscience
2016
Works of Igor Mordatch being referenced
Interactive control of diverse complex characters with neural networks
2015
Robust physics-based locomotion using low-dimensional planning
2010
Emergence of Grounded Compositional Language in Multi-Agent Populations
2018
Discovery of complex behaviors through contact-invariant optimization
2012
Discovery of complex behaviors through contact-invariant optimization
2012
Stylizing animation by example
2013
Emergence of Grounded Compositional Language in Multi-Agent Populations
2017
Feature-based locomotion controllers
2010