Distributed Distributional Deterministic Policy Gradients

23 April 2018

David Budden

Dan Horgan

Papers citing "Distributed Distributional Deterministic Policy Gradients"

27 / 127 papers shown

Title
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 23 64 0 26 Nov 2019
Worst Cases Policy Gradients Yichuan Tang Jian Zhang Ruslan Salakhutdinov 27 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 28 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 28 50 0 01 Oct 2019
Scaling data-driven robotics with reward sketching and batch reinforcement learning Serkan Cabi Sergio Gomez Colmenarejo Alexander Novikov Ksenia Konyushkova Scott E. Reed ... David Barker Jonathan Scholz Misha Denil Nando de Freitas Ziyun Wang OffRL 28 29 0 26 Sep 2019
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch Adam Stooke Pieter Abbeel OffRL 24 96 0 03 Sep 2019
Dynamics-aware Embeddings William F. Whitney Rajat Agarwal Kyunghyun Cho Abhinav Gupta SSL 25 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 36 372 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 45 0 27 May 2019
Estimating Risk and Uncertainty in Deep Reinforcement Learning W. Clements B. V. Delft Benoît-Marie Robaglia Reda Bahi Slaoui Sébastien Toth 30 96 0 23 May 2019
Attention-based Deep Reinforcement Learning for Multi-view Environments Elaheh Barati Xuewen Chen Z. Zhong 30 6 0 10 May 2019
Longitudinal Dynamic versus Kinematic Models for Car-Following Control Using Deep Reinforcement Learning Yuan Lin J. McPhee N. L. Azad AI4CE 25 34 0 07 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 28 50 0 20 Mar 2019
Deep Reinforcement Learning with Decorrelation B. Mavrin Hengshuai Yao Linglong Kong 37 8 0 18 Mar 2019
Artificial Intelligence for Prosthetics - challenge solutions L. Kidzinski Carmichael F. Ong Sharada Mohanty Jennifer Hicks Sean F. Carroll ... E. Tumer J. Watson M. Salathé Sergey Levine Scott L. Delp 15 40 0 07 Feb 2019
TF-Replicator: Distributed Machine Learning for Researchers P. Buchlovsky David Budden Dominik Grewe Chris Jones John Aslanides ... Aidan Clark Sergio Gomez Colmenarejo Aedan Pope Fabio Viola Dan Belov GNN OffRL AI4CE 37 20 0 01 Feb 2019
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures Junhui Yin Jiayan Qiu Csaba Szepesvári Siqing Zhang Avraham Ruderman Jiyang Xie Krishnamurthy Dvijotham Zhanyu Ma N. Heess Pushmeet Kohli AAML 15 80 0 04 Dec 2018
Scalable agent alignment via reward modeling: a research direction Jan Leike David M. Krueger Tom Everitt Miljan Martic Vishal Maini Shane Legg 34 397 0 19 Nov 2018
Fast deep reinforcement learning using online adjustments from the past Steven Hansen Pablo Sprechmann Alexander Pritzel André Barreto Charles Blundell TTA OffRL OnRL 18 42 0 18 Oct 2018
Learning Dexterous In-Hand Manipulation OpenAI OpenAI Marcin Andrychowicz Bowen Baker Maciek Chociej Rafal Jozefowicz ... Szymon Sidor Joshua Tobin Peter Welinder Lilian Weng Wojciech Zaremba 47 1,857 0 01 Aug 2018
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation J. Matas Stephen James Andrew J. Davison AI4CE 29 357 0 20 Jun 2018
Randomized Prior Functions for Deep Reinforcement Learning Ian Osband John Aslanides Albin Cassirer UQCV BDL 21 372 0 08 Jun 2018
Playing hard exploration games by watching YouTube Y. Aytar Tobias Pfaff David Budden T. Paine Ziyun Wang Nando de Freitas 35 269 0 29 May 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 68 797 0 21 May 2018
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 143 928 0 07 Jul 2017