Accelerated Methods for Deep Reinforcement Learning

7 March 2018

Pieter Abbeel

Papers citing "Accelerated Methods for Deep Reinforcement Learning"

50 / 65 papers shown

Title
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 22 2 0 08 Nov 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
SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems Kailash Gogineni Sai Santosh Dayapule Juan Gómez Luna Karthikeya Gogineni Peng Wei Tian-Shing Lan Mohammad Sadrosadati Onur Mutlu Guru Venkataramani 50 10 0 07 May 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX Alexander Nikulin Vladislav Kurenkov Ilya Zisman Artem Agarkov Viacheslav Sinii Sergey Kolesnikov 26 25 0 19 Dec 2023
Spreeze: High-Throughput Parallel Reinforcement Learning Framework Jing Hou Guang Chen Ruiqi Zhang Zhijun Li Shangding Gu Changjun Jiang OffRL 24 2 0 11 Dec 2023
minimax: Efficient Baselines for Autocurricula in JAX Minqi Jiang Michael Dennis Edward Grefenstette Tim Rocktaschel 21 8 0 21 Nov 2023
Small batch deep reinforcement learning J. Obando-Ceron Marc G. Bellemare Pablo Samuel Castro VLM 34 14 0 05 Oct 2023
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform Shengyi Huang Jiayi Weng Rujikorn Charakorn Min-Bin Lin Zhongwen Xu Santiago Ontañón 22 3 0 29 Sep 2023
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores Zhiyu Mei Wei Fu Jiaxuan Gao Guang Wang Huanchen Zhang Yi Wu OffRL LRM 29 5 0 29 Jun 2023
Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second Vincent-Pierre Berges Andrew Szot Devendra Singh Chaplot Aaron Gokaslan Roozbeh Mottaghi Dhruv Batra Eric Undersander LRM LM&Ro 32 5 0 13 Jun 2023
Investigating Navigation Strategies in the Morris Water Maze through Deep Reinforcement Learning A. Liu Alla Borisyuk 16 6 0 01 Jun 2023
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-aware Prioritization Kailash Gogineni Yongsheng Mei Peng Wei Tian-Shing Lan Guru Venkataramani 18 13 0 31 May 2023
Towards Efficient Multi-Agent Learning Systems Kailash Gogineni Peng Wei Tian-Shing Lan Guru Venkataramani 27 4 0 22 May 2023
CFlowNets: Continuous Control with Generative Flow Networks Yinchuan Li Shuang Luo Haozhi Wang Jianye Hao 91 20 0 04 Mar 2023
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox Qiyue Yin Tongtong Yu S. Shen Jun Yang Meijing Zhao Kaiqi Huang Bin Liang Liangsheng Wang OffRL 20 13 0 01 Dec 2022
Actively Learning Costly Reward Functions for Reinforcement Learning André Eberhard Houssam Metni G. Fahland A. Stroh Pascal Friederich OffRL 35 0 0 23 Nov 2022
Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size Alexander Nikulin Vladislav Kurenkov Denis Tarasov Dmitry Akimov Sergey Kolesnikov OffRL 31 14 0 20 Nov 2022
Local Connection Reinforcement Learning Method for Efficient Control of Robotic Peg-in-Hole Assembly Yuhang Gai Jiwen Zhang Dan Wu Ken Chen OffRL 29 1 0 24 Oct 2022
Scaling up Stochastic Gradient Descent for Non-convex Optimisation S. Mohamad H. Alamri A. Bouchachia 47 3 0 06 Oct 2022
MAN: Multi-Action Networks Learning Keqin Wang Alison Bartsch A. Farimani 16 3 0 19 Sep 2022
Fast Population-Based Reinforcement Learning on a Single Machine Arthur Flajolet Claire Bizon Monroc Karim Beguir Thomas Pierrot OffRL 24 10 0 17 Jun 2022
Achieving Goals using Reward Shaping and Curriculum Learning M. Anca Jonathan D. Thomas Dabal Pedamonti M. Studley Mark Hansen 4 1 0 06 Jun 2022
Fast and Data Efficient Reinforcement Learning from Pixels via Non-Parametric Value Approximation Alex Long Alan Blair H. V. Hoof 23 3 0 07 Mar 2022
GPU-Accelerated Policy Optimization via Batch Automatic Differentiation of Gaussian Processes for Real-World Control Abdolreza Taheri Joni Pajarinen R. Ghabcheloo GP 19 3 0 28 Feb 2022
Graph augmented Deep Reinforcement Learning in the GameRLand3D environment E. Beeching Maxim Peter Philippe Marcotte Jilles Debangoye Olivier Simonin Joshua Romoff Christian Wolf 11 5 0 22 Dec 2021
Godot Reinforcement Learning Agents E. Beeching Jilles Debangoye Olivier Simonin Christian Wolf GP OnRL 16 5 0 07 Dec 2021
Fast and Data-Efficient Training of Rainbow: an Experimental Study on Atari Dominik Schmidt Thomas Schmied OffRL 20 12 0 19 Nov 2021
Human-Level Control without Server-Grade Hardware Brett Daley Chris Amato BDL OffRL 8 0 0 01 Nov 2021
Improving Robustness of Reinforcement Learning for Power System Control with Adversarial Training Alexander Pan Yongkyun Lee Huan Zhang Yize Chen Yuanyuan Shi AAML 20 17 0 18 Oct 2021
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning Nikita Rudin David Hoeller Philipp Reist Marco Hutter 115 545 0 24 Sep 2021
Tianshou: a Highly Modularized Deep Reinforcement Learning Library Jiayi Weng Huayu Chen Dong Yan Kaichao You Alexis Duburcq Minghao Zhang Yi Su Hang Su Jun Zhu NoLa OffRL 16 194 0 29 Jul 2021
Deep Learning for Embodied Vision Navigation: A Survey Fengda Zhu Yi Zhu Vincent CS Lee Xiaodan Liang Xiaojun Chang EgoV LM&Ro 42 0 0 07 Jul 2021
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning Ming Zhou Bo Liu Hanjing Wang Muning Wen Runzhe Wu Ying Wen Yaodong Yang Weinan Zhang Jun Wang OffRL 22 46 0 05 Jun 2021
Podracer architectures for scalable Reinforcement Learning Matteo Hessel M. Kroiss Aidan Clark Iurii Kemaev John Quan Thomas Keck Fabio Viola H. V. Hasselt 16 37 0 13 Apr 2021
Scaling Scaling Laws with Board Games Andrew Jones 8 39 0 07 Apr 2021
Progressive extension of reinforcement learning action dimension for asymmetric assembly tasks Yuhang Gai Jiuming Guo Dan Wu Ken Chen 11 0 0 06 Apr 2021
Training Larger Networks for Deep Reinforcement Learning Keita Ota Devesh K. Jha Asako Kanezaki OffRL 23 39 0 16 Feb 2021
Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning Jian Hu Siyang Jiang Seth Austin Harding Haibin Wu Shihua Liao 16 86 0 06 Feb 2021
Towards Understanding Asynchronous Advantage Actor-critic: Convergence and Linear Speedup Han Shen Kaipeng Zhang Min-Fong Hong Tianyi Chen 32 28 0 31 Dec 2020
The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems A. Inci Evgeny Bolotin Yaosheng Fu Gal Dalal Shie Mannor D. Nellans Diana Marculescu AI4CE 17 13 0 08 Dec 2020
Applied Machine Learning for Games: A Graduate School Course Yilei Zeng Aayush Shah Jameson Thai M. Zyda AI4CE 9 3 0 30 Nov 2020
Integrating Distributed Architectures in Highly Modular RL Libraries Albert Bou Sebastian Dittert Gianni De Fabritiis 23 0 0 06 Jul 2020
Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework Ngoc Duy Nguyen Thanh Thi Nguyen Hai V. Nguyen Doug Creighton S. Nahavandi 30 3 0 27 Feb 2020
Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling Huaqing Xiong Tengyu Xu Yingbin Liang Wei Zhang 17 33 0 15 Feb 2020
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames Erik Wijmans Abhishek Kadian Ari S. Morcos Stefan Lee Irfan Essa Devi Parikh Manolis Savva Dhruv Batra 26 467 0 01 Nov 2019
Asynchronous Methods for Model-Based Reinforcement Learning Yunzhi Zhang I. Clavera Bo-Yu Tsai Pieter Abbeel OffRL 11 27 0 28 Oct 2019
LIMIS: Locally Interpretable Modeling using Instance-wise Subsampling Jinsung Yoon Sercan Ö. Arik Tomas Pfister FAtt 8 2 0 26 Sep 2019
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch Adam Stooke Pieter Abbeel OffRL 16 96 0 03 Sep 2019
Reusability and Transferability of Macro Actions for Reinforcement Learning Yi-Hsiang Chang Kuan-Yu Chang Henry Kuo Chun-Yi Lee 13 2 0 05 Aug 2019
Accelerating Reinforcement Learning through GPU Atari Emulation Steven Dalton I. Frosio M. Garland ELM 19 9 0 19 Jul 2019