Distributed Distributional Deterministic Policy Gradients

23 April 2018

David Budden

Dan Horgan

Papers citing "Distributed Distributional Deterministic Policy Gradients"

50 / 108 papers shown

Title
Learning State Representations via Retracing in Reinforcement Learning Changmin Yu Dong Li Jianye Hao Jun Wang Neil Burgess 27 7 0 24 Nov 2021
Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning Daniel J. B. Harrold Jun Cao Zhongbo Fan 28 61 0 21 Nov 2021
Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning Wanggang Shen Xun Huan 11 39 0 28 Oct 2021
Learning Robotic Manipulation Skills Using an Adaptive Force-Impedance Action Space Maximilian Ulmer Elie Aljalbout Sascha Schwarz Sami Haddadin 13 6 0 19 Oct 2021
Safety-Critical Learning of Robot Control with Temporal Logic Specifications Mingyu Cai C. Vasile 35 4 0 07 Sep 2021
Learning Practically Feasible Policies for Online 3D Bin Packing Hang Zhao Chenyang Zhu Xin Xu Hui Huang Kai Xu OffRL 16 80 0 31 Aug 2021
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges Jiaju Qi Qihao Zhou Lei Lei Kan Zheng FedML 31 145 0 26 Aug 2021
Conservative Offline Distributional Reinforcement Learning Yecheng Jason Ma Dinesh Jayaraman Osbert Bastani OffRL 70 78 0 12 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
Evolving Hierarchical Memory-Prediction Machines in Multi-Task Reinforcement Learning Stephen Kelly Tatiana Voegerl W. Banzhaf C. Gondro 45 13 0 23 Jun 2021
What Matters for Adversarial Imitation Learning? Manu Orsini Anton Raichuk Léonard Hussenot Damien Vincent Robert Dadashi Sertan Girgin M. Geist Olivier Bachem Olivier Pietquin Marcin Andrychowicz 42 77 0 01 Jun 2021
On Instrumental Variable Regression for Deep Offline Policy Evaluation Yutian Chen Liyuan Xu Çağlar Gülçehre T. Paine A. Gretton Nando de Freitas Arnaud Doucet OffRL 39 18 0 21 May 2021
Regularized Behavior Value Estimation Çağlar Gülçehre Sergio Gomez Colmenarejo Ziyun Wang Jakub Sygnowski T. Paine Konrad Zolna Yutian Chen Matthew W. Hoffman Razvan Pascanu Nando de Freitas OffRL 23 37 0 17 Mar 2021
Robust MAML: Prioritization task buffer with adaptive learning process for model-agnostic meta-learning Thanh Nguyen Tung M. Luu T. Pham Sanzhar Rakhimkul Chang D. Yoo 19 10 0 15 Mar 2021
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing Axel Brunnbauer Luigi Berducci Andreas Brandstätter Mathias Lechner Ramin Hasani Daniela Rus Radu Grosu LM&Ro 38 37 0 08 Mar 2021
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction Hongyao Tang Jianye Hao Guangyong Chen Pengfei Chen Cheng Chen Yaodong Yang Lu Zhang Wulong Liu Zhaopeng Meng OffRL 35 4 0 03 Mar 2021
Task-Agnostic Morphology Evolution D. Hejna Pieter Abbeel Lerrel Pinto 30 26 0 25 Feb 2021
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search Y. Fu Zhongzhi Yu Yongan Zhang Yingyan Lin 22 4 0 24 Dec 2020
Offline Learning from Demonstrations and Unlabeled Experience Konrad Zolna Alexander Novikov Ksenia Konyushkova Çağlar Gülçehre Ziyun Wang Y. Aytar Misha Denil Nando de Freitas Scott E. Reed SSL OffRL 32 66 0 27 Nov 2020
Deep Reinforcement Learning for Resource Constrained Multiclass Scheduling in Wireless Networks Apostolos Avranas Marios Kountouris P. Ciblat 19 7 0 27 Nov 2020
Model-based Reinforcement Learning for Continuous Control with Posterior Sampling Ying Fan Yifei Ming 25 17 0 20 Nov 2020
LBGP: Learning Based Goal Planning for Autonomous Following in Front Payam Nikdel R. Vaughan Mo Chen 22 13 0 05 Nov 2020
Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification D. Mankowitz D. A. Calian Rae Jeong Cosmin Paduraru N. Heess Sumanth Dathathri Martin Riedmiller Timothy A. Mann 24 11 0 20 Oct 2020
Softmax Deep Double Deterministic Policy Gradients Ling Pan Qingpeng Cai Longbo Huang 72 86 0 19 Oct 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 2020
Online 3D Bin Packing with Constrained Deep Reinforcement Learning Hang Zhao Qijin She Chenyang Zhu Yifan Yang Kai Xu OffRL 19 119 0 26 Jun 2020
Non-local Policy Optimization via Diversity-regularized Collaborative Exploration Zhenghao Peng Hao Sun Bolei Zhou 13 18 0 14 Jun 2020
Self-Imitation Learning via Generalized Lower Bound Q-learning Yunhao Tang SSL 25 24 0 12 Jun 2020
Primal Wasserstein Imitation Learning Robert Dadashi Léonard Hussenot M. Geist Olivier Pietquin 20 124 0 08 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 60 225 0 01 Jun 2020
A Distributional View on Multi-Objective Policy Optimization A. Abdolmaleki Sandy H. Huang Leonard Hasenclever Michael Neunert H. F. Song Martina Zambelli M. Martins N. Heess R. Hadsell Martin Riedmiller 21 74 0 15 May 2020
An empirical investigation of the challenges of real-world reinforcement learning Gabriel Dulac-Arnold Nir Levine D. Mankowitz Jerry Li Cosmin Paduraru Sven Gowal Todd Hester OffRL 34 120 0 24 Mar 2020
Balance Between Efficient and Effective Learning: Dense2Sparse Reward Shaping for Robot Manipulation with Environment Uncertainty Yongle Luo Kun Dong Lili Zhao Zhiyong Sun Chao Zhou Bo Song 34 13 0 05 Mar 2020
Q-Learning in enormous action spaces via amortized approximate maximization T. Wiele David Warde-Farley A. Mnih Volodymyr Mnih 21 59 0 22 Jan 2020
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors Jingliang Duan Yang Guan Shengbo Eben Li Yangang Ren B. Cheng OffRL 17 173 0 09 Jan 2020
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 37 188 0 23 Dec 2019
Direct and indirect reinforcement learning Yang Guan Shengbo Eben Li Jingliang Duan Jie Li Yangang Ren Qi Sun B. Cheng OffRL 32 34 0 23 Dec 2019
Adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints Jingliang Duan Zhengyu Liu Shengbo Eben Li Qi Sun Zhenzhong Jia B. Cheng 15 64 0 26 Nov 2019
Worst Cases Policy Gradients Yichuan Tang Jian Zhang Ruslan Salakhutdinov 13 75 0 09 Nov 2019
Task-Relevant Adversarial Imitation Learning Konrad Zolna Scott E. Reed Alexander Novikov Sergio Gomez Colmenarejo David Budden Serkan Cabi Misha Denil Nando de Freitas Ziyun Wang GAN 22 61 0 02 Oct 2019
Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping Cristian Bodnar A. Li Karol Hausman P. Pastor Mrinal Kalakrishnan OffRL 20 50 0 01 Oct 2019
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch Adam Stooke Pieter Abbeel OffRL 19 96 0 03 Sep 2019
Dynamics-aware Embeddings William F. Whitney Rajat Agarwal Kyunghyun Cho Abhinav Gupta SSL 17 53 0 25 Aug 2019
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges Lei Lei Yue Tan Kan Zheng Shiwen Liu K. Zheng Xuemin Shen Shen OffRL 21 202 0 22 Jul 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 25 371 0 01 Jul 2019
Deep Reinforcement Learning for Cyber Security Thanh Thi Nguyen Vijay Janapa Reddi OffRL AI4CE 10 313 0 13 Jun 2019
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video Miguel Jaques Michael G. Burke Timothy M. Hospedales VGen PINN 21 44 0 27 May 2019
Attention-based Deep Reinforcement Learning for Multi-view Environments Elaheh Barati Xuewen Chen Z. Zhong 14 6 0 10 May 2019
Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning Sandy H. Huang Martina Zambelli Jackie Kay M. Martins Yuval Tassa P. Pilarski R. Hadsell 18 50 0 20 Mar 2019
Deep Reinforcement Learning with Decorrelation B. Mavrin Hengshuai Yao Linglong Kong 22 8 0 18 Mar 2019