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Igor Mordatch — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Igor Mordatch
28
papers ·
3010
citations ·
43
h-index
Google (United States)
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Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
2017 · 1015 citations
Decision Transformer: Reinforcement Learning via Sequence Modeling
2021 · 465 citations
Emergent Tool Use From Multi-Agent Autocurricula
2019 · 338 citations
Emergent Complexity via Multi-Agent Competition
2017 · 147 citations
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines
2018 · 75 citations
Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation
2021 · 62 citations
A Game Theoretic Framework for Model Based Reinforcement Learning
2020 · 44 citations
Multi-Game Decision Transformers
2022 · 27 citations
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control
2020 · 26 citations
Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning
2021 · 24 citations
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
2021 · 23 citations
Reset-Free Lifelong Learning with Skill-Space Planning
2020 · 11 citations
Multi-Agent Reinforcement Learning with Multi-Step Generative Models
2019 · 7 citations
Model Based Planning with Energy Based Models
2019 · 7 citations
Model-Based Reinforcement Learning via Latent-Space Collocation
2021 · 7 citations
Top co-authors
Pieter Abbeel
· 4
Aravind Rajeswaran
· 3
Seyed Kamyar Seyed Ghasemipour
· 3
Aditya Grover
· 2
Daniel Freeman
· 2
Deepak Pathak
· 2
Kevin Lu
· 2
Satoshi Kataoka
· 2
Shixiang Shane Gu
· 2
Vikash Kumar
· 2
Wenlong Huang
· 2
Alexander Sasha Vezhnevets
· 1
Topics
Multi-Agent
Model-Based RL
Game AI
Exploration
Policy Gradient
Meta-RL
Value-Based
Offline RL
Safe RL