Towards Generalization and Simplicity in Continuous Control

8 March 2017

Aravind Rajeswaran

Papers citing "Towards Generalization and Simplicity in Continuous Control"

50 / 158 papers shown

Title
Receding Horizon Curiosity M. Schultheis Boris Belousov Hany Abdulsamad Jan Peters 25 15 0 08 Oct 2019
How Much Do Unstated Problem Constraints Limit Deep Robotic Reinforcement Learning? W. Lewis Mark Moll Lydia E. Kavraki OffRL 13 5 0 20 Sep 2019
Meta-Learning with Implicit Gradients Aravind Rajeswaran Chelsea Finn Sham Kakade Sergey Levine 45 844 0 10 Sep 2019
Policy Space Identification in Configurable Environments Alberto Maria Metelli G. Manneschi Marcello Restelli 27 11 0 09 Sep 2019
Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real Ofir Nachum Michael Ahn Hugo Ponte S. Gu Vikash Kumar 35 89 0 13 Aug 2019
On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift Alekh Agarwal Sham Kakade Jason D. Lee G. Mahajan 13 316 0 01 Aug 2019
An Inductive Synthesis Framework for Verifiable Reinforcement Learning He Zhu Zikang Xiong Stephen Magill Suresh Jagannathan 25 93 0 16 Jul 2019
Assessing Transferability from Simulation to Reality for Reinforcement Learning Fabio Muratore Michael Gienger Jan Peters 19 61 0 10 Jul 2019
An Optimistic Perspective on Offline Reinforcement Learning Rishabh Agarwal Dale Schuurmans Mohammad Norouzi OffRL OnRL 28 69 0 10 Jul 2019
FiDi-RL: Incorporating Deep Reinforcement Learning with Finite-Difference Policy Search for Efficient Learning of Continuous Control Longxiang Shi Shijian Li LongBing Cao Long Yang Gang Zheng Gang Pan 16 5 0 01 Jul 2019
Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy Boyi Liu Qi Cai Zhuoran Yang Zhaoran Wang 30 108 0 25 Jun 2019
Entropic Risk Measure in Policy Search David Nass Boris Belousov Jan Peters 30 26 0 21 Jun 2019
Neural Graph Evolution: Towards Efficient Automatic Robot Design Tingwu Wang Yuhao Zhou Sanja Fidler Jimmy Ba 23 61 0 12 Jun 2019
Global Optimality Guarantees For Policy Gradient Methods Jalaj Bhandari Daniel Russo 37 186 0 05 Jun 2019
Analysis and Improvement of Adversarial Training in DQN Agents With Adversarially-Guided Exploration (AGE) Vahid Behzadan W. Hsu AAML 14 8 0 03 Jun 2019
Randomized Adversarial Imitation Learning for Autonomous Driving Myungjae Shin Joongheon Kim 18 25 0 13 May 2019
Fast Skill Learning for Variable Compliance Robotic Assembly Tianyu Ren Yunfei Dong Dan Wu Ken Chen 26 2 0 11 May 2019
How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies? Q. Vuong Sharad Vikram H. Su Sicun Gao Henrik I. Christensen OOD 16 47 0 28 Mar 2019
Towards Characterizing Divergence in Deep Q-Learning Joshua Achiam Ethan Knight Pieter Abbeel 27 96 0 21 Mar 2019
Fast Efficient Hyperparameter Tuning for Policy Gradients Supratik Paul Vitaly Kurin Shimon Whiteson 22 32 0 18 Feb 2019
Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective Anirudh Vemula Wen Sun J. Andrew Bagnell 19 40 0 31 Jan 2019
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems Dhruv Malik A. Pananjady Kush S. Bhatia K. Khamaru Peter L. Bartlett Martin J. Wainwright 15 198 0 20 Dec 2018
TD-Regularized Actor-Critic Methods Simone Parisi Voot Tangkaratt Jan Peters Mohammad Emtiyaz Khan OffRL 30 32 0 19 Dec 2018
Understanding the impact of entropy on policy optimization Zafarali Ahmed Nicolas Le Roux Mohammad Norouzi Dale Schuurmans 28 226 0 27 Nov 2018
Natural Environment Benchmarks for Reinforcement Learning Amy Zhang Yuxin Wu Joelle Pineau OffRL OOD 20 69 0 14 Nov 2018
A Closer Look at Deep Policy Gradients Andrew Ilyas Logan Engstrom Shibani Santurkar Dimitris Tsipras Firdaus Janoos Larry Rudolph Aleksander Madry 30 50 0 06 Nov 2018
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control Kendall Lowrey Aravind Rajeswaran Sham Kakade G. Haro Igor Mordatch OffRL 33 223 0 05 Nov 2018
Assessing Generalization in Deep Reinforcement Learning Charles Packer Katelyn Gao Jernej Kos Philipp Krahenbuhl V. Koltun D. Song OffRL 18 233 0 29 Oct 2018
Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost Henry Zhu Abhishek Gupta Aravind Rajeswaran Sergey Levine Vikash Kumar OffRL 19 197 0 14 Oct 2018
One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL T. Paine Sergio Gomez Colmenarejo Ziyun Wang Scott E. Reed Y. Aytar ... Matthew W. Hoffman Gabriel Barth-Maron Serkan Cabi David Budden Nando de Freitas OffRL 22 26 0 11 Oct 2018
Robust Optimization through Neuroevolution Paolo Pagliuca S. Nolfi 15 13 0 02 Oct 2018
Generalization and Regularization in DQN Jesse Farebrother Marlos C. Machado Michael Bowling 30 203 0 29 Sep 2018
Using Deep Reinforcement Learning to Learn High-Level Policies on the ATRIAS Biped Tianyu Li Akshara Rai H. Geyer C. Atkeson 20 51 0 28 Sep 2018
Policy Optimization via Importance Sampling Alberto Maria Metelli Matteo Papini Francesco Faccio Marcello Restelli OffRL 13 89 0 17 Sep 2018
Structured Neural Network Dynamics for Model-based Control Alexander Broad Ian Abraham Todd D. Murphey B. Argall 14 5 0 03 Aug 2018
Remember and Forget for Experience Replay G. Novati Petros Koumoutsakos OffRL 35 90 0 16 Jul 2018
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing Chen Liang Mohammad Norouzi Jonathan Berant Quoc V. Le Ni Lao 19 134 0 06 Jul 2018
A Tour of Reinforcement Learning: The View from Continuous Control Benjamin Recht 11 619 0 25 Jun 2018
A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning Amy Zhang Nicolas Ballas Joelle Pineau CLL OffRL 33 177 0 20 Jun 2018
Supervised Policy Update for Deep Reinforcement Learning Q. Vuong Yiming Zhang Keith Ross 19 20 0 29 May 2018
Fingerprint Policy Optimisation for Robust Reinforcement Learning Supratik Paul Michael A. Osborne Shimon Whiteson 32 18 0 27 May 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 68 797 0 21 May 2018
On Learning Intrinsic Rewards for Policy Gradient Methods Zeyu Zheng Junhyuk Oh Satinder Singh 22 204 0 17 Apr 2018
Terrain RL Simulator Glen Berseth Xue Bin Peng M. van de Panne AI4CE 27 5 0 17 Apr 2018
Reinforcement learning for non-prehensile manipulation: Transfer from simulation to physical system Kendall Lowrey S. Kolev Jeremy Dao Aravind Rajeswaran E. Todorov 13 58 0 28 Mar 2018
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines Cathy Wu Aravind Rajeswaran Yan Duan Vikash Kumar Alexandre M. Bayen Sham Kakade Igor Mordatch Pieter Abbeel OffRL 16 151 0 20 Mar 2018
Simple random search provides a competitive approach to reinforcement learning Horia Mania Aurelia Guy Benjamin Recht 22 315 0 19 Mar 2018
Structured Control Nets for Deep Reinforcement Learning Mario Srouji Jian Zhang Ruslan Salakhutdinov 33 43 0 22 Feb 2018
Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator Maryam Fazel Rong Ge Sham Kakade M. Mesbahi 35 597 0 15 Jan 2018
Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning Charles B. Schaff David Yunis Ayan Chakrabarti Matthew R. Walter 13 100 0 04 Jan 2018