Towards Generalization and Simplicity in Continuous Control

8 March 2017

Aravind Rajeswaran

Papers citing "Towards Generalization and Simplicity in Continuous Control"

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Title
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning Hiroki Furuta T. Matsushima Tadashi Kozuno Y. Matsuo Sergey Levine Ofir Nachum S. Gu OffRL 19 13 0 23 Mar 2021
Instabilities of Offline RL with Pre-Trained Neural Representation Ruosong Wang Yifan Wu Ruslan Salakhutdinov Sham Kakade OffRL 22 42 0 08 Mar 2021
MobILE: Model-Based Imitation Learning From Observation Alone Rahul Kidambi Jonathan D. Chang Wen Sun 11 39 0 22 Feb 2021
Decoupling Value and Policy for Generalization in Reinforcement Learning Roberta Raileanu Rob Fergus DRL OffRL 16 95 0 20 Feb 2021
Sparse Attention Guided Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning Jaskirat Singh Liang Zheng OffRL 21 3 0 14 Feb 2021
Measuring Progress in Deep Reinforcement Learning Sample Efficiency Florian E. Dorner 25 12 0 09 Feb 2021
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments Daochen Zha Wenye Ma Lei Yuan Xia Hu Ji Liu 14 43 0 20 Jan 2021
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning Rishabh Agarwal Marlos C. Machado Pablo Samuel Castro Marc G. Bellemare OffRL 27 164 0 13 Jan 2021
When Is Generalizable Reinforcement Learning Tractable? Dhruv Malik Yuanzhi Li Pradeep Ravikumar OffRL 92 24 0 01 Jan 2021
Policy Optimization for Markovian Jump Linear Quadratic Control: Gradient-Based Methods and Global Convergence Joao Paulo Jansch-Porto Bin Hu Geir Dullerud 24 8 0 24 Nov 2020
MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty A. Guha Anuradha M. Annaswamy 31 12 0 20 Nov 2020
Convex Optimization with an Interpolation-based Projection and its Application to Deep Learning R. Akrour Asma Atamna Jan Peters 6 3 0 13 Nov 2020
Robust Quadrupedal Locomotion on Sloped Terrains: A Linear Policy Approach Kartik Paigwar L. Krishna Sashank Tirumala Naman Khetan Aditya Sagi Ashish Joglekar S. Bhatnagar A. Ghosal B. Amrutur Shishir Kolathaya 17 17 0 30 Oct 2020
Learning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement Learning Daniele Reda Tianxin Tao M. van de Panne AI4CE 8 52 0 09 Oct 2020
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning Ossama Ahmed Frederik Trauble Anirudh Goyal Alexander Neitz Yoshua Bengio Bernhard Schölkopf M. Wuthrich Stefan Bauer CML 37 120 0 08 Oct 2020
Learning Intrinsic Symbolic Rewards in Reinforcement Learning Hassam Sheikh Shauharda Khadka Santiago Miret Somdeb Majumdar OffRL 29 7 0 08 Oct 2020
Improved Memories Learning Francesco Varoli G. Novati Pantelis R. Vlachas Petros Koumoutsakos OffRL AI4TS 4 0 0 24 Aug 2020
Adversarial Imitation Learning via Random Search Myungjae Shin Joongheon Kim 14 11 0 21 Aug 2020
ClipUp: A Simple and Powerful Optimizer for Distribution-based Policy Evolution N. E. Toklu Paweł Liskowski R. Srivastava 6 11 0 05 Aug 2020
Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning Xingyu Lu Kimin Lee Pieter Abbeel Stas Tiomkin DRL AI4CE 21 33 0 03 Aug 2020
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting Jorge Armando Mendez Mendez Boyu Wang Eric Eaton CLL 36 38 0 14 Jul 2020
Towards a practical measure of interference for reinforcement learning Vincent Liu Adam White Hengshuai Yao Martha White 10 5 0 07 Jul 2020
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search Linnan Wang Rodrigo Fonseca Yuandong Tian 43 126 0 01 Jul 2020
Extracting Latent State Representations with Linear Dynamics from Rich Observations Abraham Frandsen Rong Ge 11 2 0 29 Jun 2020
Automatic Data Augmentation for Generalization in Deep Reinforcement Learning Roberta Raileanu M. Goldstein Denis Yarats Ilya Kostrikov Rob Fergus OffRL 22 109 0 23 Jun 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals Andres Campero Roberta Raileanu Heinrich Küttler J. Tenenbaum Tim Rocktaschel Edward Grefenstette 38 125 0 22 Jun 2020
Continuous Action Reinforcement Learning from a Mixture of Interpretable Experts R. Akrour Davide Tateo Jan Peters 28 21 0 10 Jun 2020
Policy Learning of MDPs with Mixed Continuous/Discrete Variables: A Case Study on Model-Free Control of Markovian Jump Systems Joao Paulo Jansch-Porto Bin Hu Geir Dullerud 17 16 0 04 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 A. Madry AAML 15 224 0 25 May 2020
MOReL : Model-Based Offline Reinforcement Learning Rahul Kidambi Aravind Rajeswaran Praneeth Netrapalli Thorsten Joachims OffRL 40 656 0 12 May 2020
Smooth Exploration for Robotic Reinforcement Learning Antonin Raffin Jens Kober F. Stulp 32 57 0 12 May 2020
Reinforcement Learning based Design of Linear Fixed Structure Controllers Nathan P. Lawrence G. Stewart Philip D. Loewen M. Forbes Johan U. Backstrom R. Bhushan Gopaluni 14 7 0 10 May 2020
A Game Theoretic Framework for Model Based Reinforcement Learning Aravind Rajeswaran Igor Mordatch Vikash Kumar OffRL 14 127 0 16 Apr 2020
Intrinsic Exploration as Multi-Objective RL Philippe Morere F. Ramos 6 1 0 06 Apr 2020
Robotic Table Tennis with Model-Free Reinforcement Learning Wenbo Gao L. Graesser K. Choromanski Xingyou Song N. Lazić Pannag R. Sanketi Vikas Sindhwani Navdeep Jaitly 19 44 0 31 Mar 2020
Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks Sina Ghiassian Banafsheh Rafiee Y. Lo Adam White 11 31 0 16 Mar 2020
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? Keita Ota Tomoaki Oiki Devesh K. Jha T. Mariyama D. Nikovski OffRL 27 40 0 03 Mar 2020
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning Xingyou Song Yuxiang Yang K. Choromanski Ken Caluwaerts Wenbo Gao Chelsea Finn Jie Tan 114 79 0 02 Mar 2020
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments Roberta Raileanu Tim Rocktaschel 8 170 0 27 Feb 2020
D2C 2.0: Decoupled Data-Based Approach for Learning to Control Stochastic Nonlinear Systems via Model-Free ILQR Karthikeya S. Parunandi Aayushman Sharma S. Chakravorty D. Kalathil 6 2 0 18 Feb 2020
Convergence Guarantees of Policy Optimization Methods for Markovian Jump Linear Systems Joao Paulo Jansch-Porto Bin Hu Geir Dullerud 25 35 0 10 Feb 2020
Lyceum: An efficient and scalable ecosystem for robot learning Colin Summers Kendall Lowrey Aravind Rajeswaran S. Srinivasa E. Todorov 24 18 0 21 Jan 2020
Graph Neural Networks for Decentralized Multi-Robot Path Planning Qingbiao Li Fernando Gama Alejandro Ribeiro Amanda Prorok 39 247 0 12 Dec 2019
Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization Paolo Pagliuca Nicola Milano S. Nolfi 13 31 0 11 Dec 2019
Observational Overfitting in Reinforcement Learning Xingyou Song Yiding Jiang Stephen Tu Yilun Du Behnam Neyshabur OffRL 33 138 0 06 Dec 2019
Adaptive Online Planning for Continual Lifelong Learning Kevin Lu Igor Mordatch Pieter Abbeel OffRL OnRL CLL 11 15 0 03 Dec 2019
Augmented Random Search for Quadcopter Control: An alternative to Reinforcement Learning A. K. Tiwari Sandeep Varma Nadimpalli 12 2 0 28 Nov 2019
On Policy Gradients Mattis Manfred Kämmerer OffRL 19 13 0 12 Nov 2019
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck Maximilian Igl K. Ciosek Yingzhen Li Sebastian Tschiatschek Cheng Zhang Sam Devlin Katja Hofmann OffRL 22 170 0 28 Oct 2019
Regularization Matters in Policy Optimization Zhuang Liu Xuanlin Li Bingyi Kang Trevor Darrell OffRL 25 33 0 21 Oct 2019