Igor Mordatch
Igor Mordatch
Google Brain
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Cited by
Cited by
Multi-agent actor-critic for mixed cooperative-competitive environments
R Lowe, YI Wu, A Tamar, J Harb, OAI Pieter Abbeel, I Mordatch
Advances in neural information processing systems 30, 2017
Emergence of grounded compositional language in multi-agent populations
I Mordatch, P Abbeel
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
Emergent tool use from multi-agent autocurricula
B Baker, I Kanitscheider, T Markov, Y Wu, G Powell, B McGrew, ...
arXiv preprint arXiv:1909.07528, 2019
Discovery of complex behaviors through contact-invariant optimization
I Mordatch, E Todorov, Z Popović
ACM Transactions on Graphics (ToG) 31 (4), 1-8, 2012
Decision transformer: Reinforcement learning via sequence modeling
L Chen, K Lu, A Rajeswaran, K Lee, A Grover, M Laskin, P Abbeel, ...
Advances in neural information processing systems 34, 15084-15097, 2021
Learning with opponent-learning awareness
JN Foerster, RY Chen, M Al-Shedivat, S Whiteson, P Abbeel, I Mordatch
arXiv preprint arXiv:1709.04326, 2017
Emergent complexity via multi-agent competition
T Bansal, J Pachocki, S Sidor, I Sutskever, I Mordatch
arXiv preprint arXiv:1710.03748, 2017
Continuous adaptation via meta-learning in nonstationary and competitive environments
M Al-Shedivat, T Bansal, Y Burda, I Sutskever, I Mordatch, P Abbeel
arXiv preprint arXiv:1710.03641, 2017
Feature-based locomotion controllers
M De Lasa, I Mordatch, A Hertzmann
ACM Transactions on Graphics (TOG) 29 (4), 1-10, 2010
Transfer from simulation to real world through learning deep inverse dynamics model
P Christiano, Z Shah, I Mordatch, J Schneider, T Blackwell, J Tobin, ...
arXiv preprint arXiv:1610.03518, 2016
Implicit generation and modeling with energy based models
Y Du, I Mordatch
Advances in Neural Information Processing Systems 32, 2019
Robust physics-based locomotion using low-dimensional planning
I Mordatch, M De Lasa, A Hertzmann
ACM SIGGRAPH 2010 papers, 1-8, 2010
Implicit generation and generalization in energy-based models
Y Du, I Mordatch
arXiv preprint arXiv:1903.08689, 2019
Plan online, learn offline: Efficient learning and exploration via model-based control
K Lowrey, A Rajeswaran, S Kakade, E Todorov, I Mordatch
arXiv preprint arXiv:1811.01848, 2018
Ensemble-cio: Full-body dynamic motion planning that transfers to physical humanoids
I Mordatch, K Lowrey, E Todorov
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
Contact-invariant optimization for hand manipulation
I Mordatch, Z Popović, E Todorov
Proceedings of the ACM SIGGRAPH/Eurographics symposium on computer animation …, 2012
Pretrained transformers as universal computation engines
K Lu, A Grover, P Abbeel, I Mordatch
arXiv preprint arXiv:2103.05247 1, 2021
Language models as zero-shot planners: Extracting actionable knowledge for embodied agents
W Huang, P Abbeel, D Pathak, I Mordatch
International Conference on Machine Learning, 9118-9147, 2022
Variance reduction for policy gradient with action-dependent factorized baselines
C Wu, A Rajeswaran, Y Duan, V Kumar, AM Bayen, S Kakade, I Mordatch, ...
arXiv preprint arXiv:1803.07246, 2018
Three-dimensional orientation indicator and controller
A Ghosh, I Mordatch, A Khan, GW Fitzmaurice, JF Matejka, RM Schmidt, ...
US Patent 7,782,319, 2010
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