Aleksei Petrenko

21 papers A* 6C 1Misc 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Entropy-Preserving Reinforcement Learning. CoRR Aleksei Petrenko, Ben Lipkin, Kevin Chen, Erik Wijmans, Marco F. Cusumano-Towner, Raja Giryes, Philipp Krähenbühl
2025	J	`jnl`	Reinforcement Learning for Long-Horizon Interactive LLM Agents. CoRR Kevin Chen, Marco F. Cusumano-Towner, Brody Huval, Aleksei Petrenko, Jackson Hamburger, Vladlen Koltun, Philipp Krähenbühl
2025	A*	`conf`	Robust Autonomy Emerges from Self-Play. ICML Marco Francis Cusumano-Towner, David Hafner, Alexander Hertzberg, Brody Huval, Aleksei Petrenko, Eugene Vinitsky, Erik Wijmans, Taylor W. Killian, Stuart Bowers, Ozan Sener, Philipp Krähenbühl, Vladlen Koltun
2025	J	`jnl`	Robust Autonomy Emerges from Self-Play. CoRR Marco F. Cusumano-Towner, David Hafner, Alexander Hertzberg, Brody Huval, Aleksei Petrenko, Eugene Vinitsky, Erik Wijmans, Taylor W. Killian, Stuart Bowers, Ozan Sener, Philipp Krähenbühl, Vladlen Koltun
2024	A*	`conf`	Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning. ICLR Sumeet Batra, Bryon Tjanaka, Matthew Christopher Fontaine, Aleksei Petrenko, Stefanos Nikolaidis, Gaurav S. Sukhatme
2023	A*	`conf`	DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality. ICRA Ankur Handa, Arthur Allshire, Viktor Makoviychuk, Aleksei Petrenko, Ritvik Singh, Jingzhou Liu, Denys Makoviichuk, Karl Van Wyk, Alexander Zhurkevich, Balakumar Sundaralingam, Yashraj Narang
2023	—	`conf`	DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training. Robotics: Science and Systems Aleksei Petrenko, Arthur Allshire, Gavriel State, Ankur Handa, Viktor Makoviychuk
2023	J	`jnl`	DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training. CoRR Aleksei Petrenko, Arthur Allshire, Gavriel State, Ankur Handa, Viktor Makoviychuk
2023	J	`jnl`	Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning. CoRR Sumeet Batra, Bryon Tjanaka, Matthew C. Fontaine, Aleksei Petrenko, Stefanos Nikolaidis, Gaurav S. Sukhatme
2023	J	`jnl`	QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control. CoRR Zhehui Huang, Sumeet Batra, Tao Chen, Rahul Krupani, Tushar Kumar, Artem Molchanov, Aleksei Petrenko, James A. Preiss, Zhaojing Yang, Gaurav S. Sukhatme
2022	J	`jnl`	DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality. CoRR 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
2021	C	`conf`	Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems. CoG Shashank Hegde, Anssi Kanervisto, Aleksei Petrenko
2021	J	`jnl`	Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems. CoRR Shashank Hegde, Anssi Kanervisto, Aleksei Petrenko
2021	Misc	`conf`	Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning. CoRL Sumeet Batra, Zhehui Huang, Aleksei Petrenko, Tushar Kumar, Artem Molchanov, Gaurav S. Sukhatme
2021	J	`jnl`	Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning. CoRR Sumeet Batra, Zhehui Huang, Aleksei Petrenko, Tushar Kumar, Artem Molchanov, Gaurav S. Sukhatme
2021	A*	`conf`	Large Batch Simulation for Deep Reinforcement Learning. ICLR Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian
2021	J	`jnl`	Large Batch Simulation for Deep Reinforcement Learning. CoRR Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian
2021	A*	`conf`	Megaverse: Simulating Embodied Agents at One Million Experiences per Second. ICML Aleksei Petrenko, Erik Wijmans, Brennan Shacklett, Vladlen Koltun
2021	J	`jnl`	Megaverse: Simulating Embodied Agents at One Million Experiences per Second. CoRR Aleksei Petrenko, Erik Wijmans, Brennan Shacklett, Vladlen Koltun
2020	A*	`conf`	Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning. ICML Aleksei Petrenko, Zhehui Huang, Tushar Kumar, Gaurav S. Sukhatme, Vladlen Koltun
2020	J	`jnl`	Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning. CoRR Aleksei Petrenko, Zhehui Huang, Tushar Kumar, Gaurav S. Sukhatme, Vladlen Koltun