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
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models Xintong Duan Yutong He Fahim Tajwar Wen-Tse Chen Ruslan Salakhutdinov Jeff Schneider OffRL AI4CE 101 0 0 22 Jan 2025
Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications Sinan Ibrahim Mostafa Mostafa Ali Jnadi Hadi Salloum Pavel Osinenko OffRL 52 14 0 31 Dec 2024
A learning-based approach to stochastic optimal control under reach-avoid constraint Tingting Ni Maryam Kamgarpour 85 0 0 21 Dec 2024
Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning Alihan Hüyük A. R. Koblitz Atefeh Mohajeri M. Andrews OffRL 40 0 0 19 Sep 2024
Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer Xingyu Liu Deepak Pathak Ding Zhao 39 6 0 06 May 2024
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning Nicholas Zolman Urban Fasel J. Nathan Kutz Steven L. Brunton AI4CE 30 11 0 14 Mar 2024
Replication of Impedance Identification Experiments on a Reinforcement-Learning-Controlled Digital Twin of Human Elbows Hao Yu Zebin Huang Qingbo Liu Ignacio Carlucho M. S. Erden 20 1 0 05 Feb 2024
Locality Sensitive Sparse Encoding for Learning World Models Online Zi-Yan Liu Chao Du Wee Sun Lee Min Lin KELM CLL OffRL 33 10 0 23 Jan 2024
In-Context Reinforcement Learning for Variable Action Spaces Viacheslav Sinii Alexander Nikulin Vladislav Kurenkov Ilya Zisman Sergey Kolesnikov 24 14 0 20 Dec 2023
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX Alexander Nikulin Vladislav Kurenkov Ilya Zisman Artem Agarkov Viacheslav Sinii Sergey Kolesnikov 35 26 0 19 Dec 2023
The Generalization Gap in Offline Reinforcement Learning Ishita Mediratta Qingfei You Minqi Jiang Roberta Raileanu OffRL 92 10 0 10 Dec 2023
Enhanced Generalization through Prioritization and Diversity in Self-Imitation Reinforcement Learning over Procedural Environments with Sparse Rewards Alain Andres Daochen Zha Javier Del Ser 39 0 0 01 Nov 2023
One is More: Diverse Perspectives within a Single Network for Efficient DRL Yiqin Tan Ling Pan Longbo Huang OffRL 38 0 0 21 Oct 2023
Memory-Consistent Neural Networks for Imitation Learning Kaustubh Sridhar Souradeep Dutta Dinesh Jayaraman James Weimer Insup Lee 44 8 0 09 Oct 2023
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates Guangchen Lan Han Wang James Anderson Christopher G. Brinton Vaneet Aggarwal FedML 32 27 0 09 Oct 2023
An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks Antonin Raffin Olivier Sigaud Jens Kober Alin Albu-Schäffer João Silvério F. Stulp 40 2 0 09 Oct 2023
Machine Learning Meets Advanced Robotic Manipulation Saeid Nahavandi R. Alizadehsani D. Nahavandi Chee Peng Lim Kevin Kelly Fernando Bello 24 17 0 22 Sep 2023
Evolving generalist controllers to handle a wide range of morphological variations Corinna Triebold Anil Yaman 25 2 0 18 Sep 2023
Measuring and Mitigating Interference in Reinforcement Learning Vincent Liu Han Wang Ruo Yu Tao Khurram Javed Adam White Martha White 27 5 0 10 Jul 2023
Efficiently Learning the Graph for Semi-supervised Learning Dravyansh Sharma Maxwell Jones 43 4 0 12 Jun 2023
On the Importance of Exploration for Generalization in Reinforcement Learning Yiding Jiang J. Zico Kolter Roberta Raileanu UQCV OffRL 34 20 0 08 Jun 2023
Policy Gradient Algorithms Implicitly Optimize by Continuation Adrien Bolland Gilles Louppe D. Ernst 39 3 0 11 May 2023
Causal Semantic Communication for Digital Twins: A Generalizable Imitation Learning Approach Christo Kurisummoottil Thomas Walid Saad Yong Xiao 37 20 0 25 Apr 2023
On-line reinforcement learning for optimization of real-life energy trading strategy Lukasz Lepak Pawel Wawrzyñski 34 0 0 28 Mar 2023
HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration Xingyu Liu Deepak Pathak Kris Kitani 21 7 0 08 Dec 2022
Neural Approaches to Co-Optimization in Robotics Charles B. Schaff 34 1 0 01 Sep 2022
Improving Sample Efficiency in Evolutionary RL Using Off-Policy Ranking R. EshwarS Shishir Kolathaya Gugan Thoppe 21 0 0 22 Aug 2022
A Critical Review of Communications in Multi-Robot Systems Jennifer Gielis A. Shankar Amanda Prorok 27 65 0 19 Jun 2022
Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions Rui Yang Jie Wang Zijie Geng Mingxuan Ye Shuiwang Ji Bin Li Fengli Wu OOD 36 20 0 20 May 2022
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? Yuchen Cui S. Niekum Abhi Gupta Vikash Kumar Aravind Rajeswaran LM&Ro 30 74 0 23 Apr 2022
Local Feature Swapping for Generalization in Reinforcement Learning David Bertoin Emmanuel Rachelson OOD 29 14 0 13 Apr 2022
Investigating the Properties of Neural Network Representations in Reinforcement Learning Han Wang Erfan Miahi Martha White Marlos C. Machado Zaheer Abbas Raksha Kumaraswamy Vincent Liu Adam White 22 26 0 30 Mar 2022
Non-Linear Reinforcement Learning in Large Action Spaces: Structural Conditions and Sample-efficiency of Posterior Sampling Alekh Agarwal Tong Zhang 24 8 0 15 Mar 2022
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control Simone Parisi Aravind Rajeswaran Senthil Purushwalkam Abhinav Gupta LM&Ro 34 187 0 07 Mar 2022
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer Xingyu Liu Deepak Pathak Kris Kitani 23 19 0 10 Feb 2022
Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles Won Joon Yun Myungjae Shin Soyi Jung S. Kwon Joongheon Kim 22 5 0 26 Dec 2021
Policy Search for Model Predictive Control with Application to Agile Drone Flight Yunlong Song Davide Scaramuzza 24 80 0 07 Dec 2021
The Surprising Effectiveness of Representation Learning for Visual Imitation Jyothish Pari Nur Muhammad (Mahi) Shafiullah Sridhar Pandian Arunachalam Lerrel Pinto SSL 25 161 0 02 Dec 2021
Model-Free $μ$ Synthesis via Adversarial Reinforcement Learning Darioush Keivan Aaron J. Havens Peter M. Seiler Geir Dullerud Bin Hu 27 7 0 30 Nov 2021
Neural optimal feedback control with local learning rules Johannes Friedrich Siavash Golkar Shiva Farashahi A. Genkin Anirvan M. Sengupta D. Chklovskii 9 12 0 12 Nov 2021
Provable Regret Bounds for Deep Online Learning and Control Xinyi Chen Edgar Minasyan Jason D. Lee Elad Hazan 36 6 0 15 Oct 2021
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs Tianwei Ni Benjamin Eysenbach Ruslan Salakhutdinov 26 103 0 11 Oct 2021
Active Reinforcement Learning over MDPs Qi Yang Peng Yang K. Tang 41 0 0 05 Aug 2021
Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games B. Hambly Renyuan Xu Huining Yang 23 25 0 27 Jul 2021
The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts Amanda Prorok J. Blumenkamp Qingbiao Li Ryan Kortvelesy Zhe Liu Ethan Stump OffRL 21 5 0 26 Jul 2021
RRL: Resnet as representation for Reinforcement Learning Rutav Shah Vikash Kumar OffRL 36 111 0 07 Jul 2021
Koopman Spectrum Nonlinear Regulators and Efficient Online Learning Motoya Ohnishi Isao Ishikawa Kendall Lowrey Masahiro Ikeda Sham Kakade Yoshinobu Kawahara 21 5 0 30 Jun 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies Linxi Fan Guanzhi Wang De-An Huang Zhiding Yu Li Fei-Fei Yuke Zhu Anima Anandkumar OffRL 30 63 0 17 Jun 2021
Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture Suyoung Lee Sae-Young Chung OffRL AI4CE 18 16 0 28 May 2021
Online Algorithms and Policies Using Adaptive and Machine Learning Approaches Anuradha M. Annaswamy A. Guha Yingnan Cui Sunbochen Tang Peter A. Fisher Joseph E. Gaudio 41 19 0 13 May 2021