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Differentiable Trust Region Layers for Deep Reinforcement Learning

22 January 2021

Papers citing "Differentiable Trust Region Layers for Deep Reinforcement Learning"

24 / 24 papers shown

Title
Projection-Based Constrained Policy Optimization Tsung-Yen Yang Justinian P. Rosca Karthik Narasimhan Peter J. Ramadge 38 243 0 07 Oct 2020
Optimistic Distributionally Robust Policy Optimization Jun Song Chaoyue Zhao 44 12 0 14 Jun 2020
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study Marcin Andrychowicz Anton Raichuk Piotr Stańczyk Manu Orsini Sertan Girgin ... Matthieu Geist Olivier Pietquin Marcin Michalski Sylvain Gelly Olivier Bachem OffRL 70 224 0 10 Jun 2020
Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO Logan Engstrom Andrew Ilyas Shibani Santurkar Dimitris Tsipras Firdaus Janoos L. Rudolph Aleksander Madry AAML 61 229 0 25 May 2020
Differentiable Convex Optimization Layers Akshay Agrawal Brandon Amos Shane T. Barratt Stephen P. Boyd Steven Diamond Zico Kolter 90 664 0 28 Oct 2019
V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control H. F. Song A. Abdolmaleki Jost Tobias Springenberg Aidan Clark Hubert Soyer ... Dhruva Tirumala N. Heess Dan Belov Martin Riedmiller M. Botvinick 88 125 0 26 Sep 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 666 5,835 0 25 Jul 2019
Learning to Score Behaviors for Guided Policy Optimization Aldo Pacchiano Jack Parker-Holder Yunhao Tang A. Choromańska K. Choromanski Michael I. Jordan 59 39 0 11 Jun 2019
Compatible Natural Gradient Policy Search Joni Pajarinen Hong Linh Thai R. Akrour Jan Peters Gerhard Neumann 46 22 0 07 Feb 2019
Trust Region-Guided Proximal Policy Optimization Yuhui Wang Hao He Xiaoyang Tan Yaozhong Gan OffRL 65 56 0 29 Jan 2019
Lyapunov-based Safe Policy Optimization for Continuous Control Yinlam Chow Ofir Nachum Aleksandra Faust Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 77 247 0 28 Jan 2019
Maximum a Posteriori Policy Optimisation A. Abdolmaleki Jost Tobias Springenberg Yuval Tassa Rémi Munos N. Heess Martin Riedmiller 73 478 0 14 Jun 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine AI4CE BDL 91 674 0 02 May 2018
Safe Exploration in Continuous Action Spaces Gal Dalal Krishnamurthy Dvijotham Matej Vecerík Todd Hester Cosmin Paduraru Yuval Tassa 48 441 0 26 Jan 2018
On Wasserstein Reinforcement Learning and the Fokker-Planck equation Pierre Harvey Richemond B. Maginnis 52 24 0 19 Dec 2017
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm David Silver Thomas Hubert Julian Schrittwieser Ioannis Antonoglou Matthew Lai ... D. Kumaran T. Graepel Timothy Lillicrap Karen Simonyan Demis Hassabis 153 1,782 0 05 Dec 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 532 19,265 0 20 Jul 2017
Guide Actor-Critic for Continuous Control Voot Tangkaratt A. Abdolmaleki Masashi Sugiyama 54 17 0 22 May 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks Brandon Amos J. Zico Kolter 165 972 0 01 Mar 2017
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 223 5,085 0 05 Jun 2016
Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel OffRL 91 1,695 0 22 Apr 2016
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 125 3,438 0 08 Jun 2015
End-to-End Training of Deep Visuomotor Policies Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel BDL 315 3,443 0 02 Apr 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,796 0 19 Feb 2015