Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning

21 June 2020

Papers citing "Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning"

21 / 21 papers shown

Title
CaRL: Learning Scalable Planning Policies with Simple Rewards Bernhard Jaeger D. Dauner Jens Beißwenger Simon Gerstenecker Kashyap Chitta Andreas Geiger 54 0 0 24 Apr 2025
Adaptive Data Exploitation in Deep Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng OffRL 172 0 0 22 Jan 2025
Symmetries-enhanced Multi-Agent Reinforcement Learning N. Bousias Stefanos Pertigkiozoglou Kostas Daniilidis George Pappas AI4CE 76 0 0 02 Jan 2025
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 20 2 0 08 Nov 2024
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction Anthony GX-Chen Kenneth Marino Rob Fergus OCL 50 1 0 21 Aug 2024
Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Action Spaces Perusha Moodley Pramod S. Kaushik Dhillu Thambi Mark Trovinger Praveen Paruchuri Xia Hong Benjamin Rosman 50 0 0 01 Jul 2024
Speeding up Policy Simulation in Supply Chain RL Vivek Farias Joren Gijsbrechts Aryan I. Khojandi Tianyi Peng A. Zheng 36 0 0 04 Jun 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX Alexander Nikulin Vladislav Kurenkov Ilya Zisman Artem Agarkov Viacheslav Sinii Sergey Kolesnikov 24 25 0 19 Dec 2023
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 78 5 0 13 Dec 2023
GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models Hanjing Wang Man-Kit Sit Cong He Ying Wen Weinan Zhang J. Wang Yaodong Yang Luo Mai OffRL VLM 27 1 0 08 Oct 2023
QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control Zhehui Huang S. Batra Tao Chen Rahul Krupani T. Kumar Artem Molchanov Aleksei Petrenko James A. Preiss Zhaojing Yang Gaurav Sukhatme 18 6 0 15 Jun 2023
On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective Ying Wen Ziyu Wan M. Zhou Shufang Hou Zhe Cao Chenyang Le Jingxiao Chen Zheng Tian Weinan Zhang J. Wang AI4CE 18 10 0 24 Dec 2022
VER: Scaling On-Policy RL Leads to the Emergence of Navigation in Embodied Rearrangement Erik Wijmans Irfan Essa Dhruv Batra OffRL 31 13 0 11 Oct 2022
AutoCAT: Reinforcement Learning for Automated Exploration of Cache-Timing Attacks Mulong Luo Wenjie Xiong G. G. Lee Yueying Li Xiaomeng Yang Amy Zhang Yuandong Tian Hsien-Hsin S. Lee G. E. Suh AAML 37 10 0 17 Aug 2022
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine Jiayi Weng Min-Bin Lin Shengyi Huang Bo Liu Denys Makoviichuk ... Yufan Song Ting Luo Yukun Jiang Zhongwen Xu Shuicheng Yan MoE 11 59 0 21 Jun 2022
Fast Population-Based Reinforcement Learning on a Single Machine Arthur Flajolet Claire Bizon Monroc Karim Beguir Thomas Pierrot OffRL 19 10 0 17 Jun 2022
Godot Reinforcement Learning Agents E. Beeching Jilles Debangoye Olivier Simonin Christian Wolf GP OnRL 11 5 0 07 Dec 2021
Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning S. Batra Zhehui Huang Aleksei Petrenko T. Kumar Artem Molchanov Gaurav Sukhatme 14 47 0 16 Sep 2021
Learning to Navigate Sidewalks in Outdoor Environments Maks Sorokin Jie Tan Karen Liu Sehoon Ha 26 41 0 12 Sep 2021
Large Batch Simulation for Deep Reinforcement Learning Brennan Shacklett Erik Wijmans Aleksei Petrenko Manolis Savva Dhruv Batra V. Koltun Kayvon Fatahalian 3DV OffRL AI4CE 27 26 0 12 Mar 2021
How to Train PointGoal Navigation Agents on a (Sample and Compute) Budget Erik Wijmans Irfan Essa Dhruv Batra 3DPC 19 10 0 11 Dec 2020