Aleksei Petrenko

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Policy Gradient

Top Venues

Publications

Sumeet Batra, Bryon Tjanaka, Matthew Christopher Fontaine, Aleksei Petrenko, Stefanos Nikolaidis, Gaurav S. Sukhatme
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning. ICLR (2024)
Ankur Handa, Arthur Allshire, Viktor Makoviychuk, Aleksei Petrenko, Ritvik Singh, Jingzhou Liu, Denys Makoviichuk, Karl Van Wyk, Alexander Zhurkevich, Balakumar Sundaralingam, Yashraj S. Narang
DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality. ICRA (2023)
Zhehui Huang, Sumeet Batra, Tao Chen, Rahul Krupani, Tushar Kumar, Artem Molchanov, Aleksei Petrenko, James A. Preiss, Zhaojing Yang, Gaurav S. Sukhatme
QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control. CoRR (2023)
Aleksei Petrenko, Arthur Allshire, Gavriel State, Ankur Handa, Viktor Makoviychuk
DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training. Robotics: Science and Systems (2023)
Aleksei Petrenko, Arthur Allshire, Gavriel State, Ankur Handa, Viktor Makoviychuk
DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training. CoRR (2023)
Sumeet Batra, Bryon Tjanaka, Matthew C. Fontaine, Aleksei Petrenko, Stefanos Nikolaidis, Gaurav S. Sukhatme
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning. CoRR (2023)
Ankur Handa, Arthur Allshire, Viktor Makoviychuk, Aleksei Petrenko, Ritvik Singh, Jingzhou Liu, Denys Makoviichuk, Karl Van Wyk, Alexander Zhurkevich, Balakumar Sundaralingam, Yashraj Narang, Jean-Francois Lafleche, Dieter Fox, Gavriel State
DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality. CoRR (2022)
Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian
Large Batch Simulation for Deep Reinforcement Learning. CoRR (2021)
Aleksei Petrenko, Erik Wijmans, Brennan Shacklett, Vladlen Koltun
Megaverse: Simulating Embodied Agents at One Million Experiences per Second. CoRR (2021)
Sumeet Batra, Zhehui Huang, Aleksei Petrenko, Tushar Kumar, Artem Molchanov, Gaurav S. Sukhatme
Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning. CoRL (2021)
Shashank Hegde, Anssi Kanervisto, Aleksei Petrenko
Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems. CoG (2021)
Shashank Hegde, Anssi Kanervisto, Aleksei Petrenko
Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems. CoRR (2021)
Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian
Large Batch Simulation for Deep Reinforcement Learning. ICLR (2021)
Aleksei Petrenko, Erik Wijmans, Brennan Shacklett, Vladlen Koltun
Megaverse: Simulating Embodied Agents at One Million Experiences per Second. ICML (2021)
Sumeet Batra, Zhehui Huang, Aleksei Petrenko, Tushar Kumar, Artem Molchanov, Gaurav S. Sukhatme
Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning. CoRR (2021)
Aleksei Petrenko, Zhehui Huang, Tushar Kumar, Gaurav S. Sukhatme, Vladlen Koltun
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning. ICML (2020)
Aleksei Petrenko, Zhehui Huang, Tushar Kumar, Gaurav S. Sukhatme, Vladlen Koltun
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning. CoRR (2020)