What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal
Discovery

What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery

28 June 2023

Jonathan M Francis

Ding Zhao

Papers citing "What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery"

12 / 12 papers shown

Title
Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation Abhiram Maddukuri Z. L. Jiang L. Chen Soroush Nasiriany Yuqi Xie ... Scott Reed Ken Goldberg Ajay Mandlekar Linxi Fan Yuke Zhu 55 1 0 31 Mar 2025
Robot Pouring: Identifying Causes of Spillage and Selecting Alternative Action Parameters Using Probabilistic Actual Causation Jaime Maldonado Jonas Krumme C. Zetzsche Vanessa Didelez K. Schill 93 0 0 13 Feb 2025
Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning Patrick Yin Tyler Westenbroek Simran Bagaria Kevin Huang Ching-an Cheng Andrey Kobolov Abhishek Gupta 68 2 0 04 Feb 2025
Open-Endedness is Essential for Artificial Superhuman Intelligence Edward Hughes Michael Dennis Jack Parker-Holder Feryal M. P. Behbahani Aditi Mavalankar Yuge Shi Tom Schaul Tim Rocktaschel LRM 24 18 0 06 Jun 2024
Continual Vision-based Reinforcement Learning with Group Symmetries Shiqi Liu Mengdi Xu Piede Huang Yongkang Liu K. Oguchi Ding Zhao CLL VLM 28 10 0 21 Oct 2022
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables Mengdi Xu Peide Huang Yaru Niu Visak C. V. Kumar Jielin Qiu ... Kuan-Hui Lee Xuewei Qi H. Lam Bo-wen Li Ding Zhao OOD 50 8 0 21 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 59 45 0 16 Sep 2022
Adapting Rapid Motor Adaptation for Bipedal Robots Ashish Kumar Zhongyu Li Jun Zeng Deepak Pathak K. Sreenath Jitendra Malik 48 61 0 30 May 2022
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training Peide Huang Mengdi Xu Fei Fang Ding Zhao 38 37 0 19 Feb 2022
Abstraction for Deep Reinforcement Learning Murray Shanahan Melanie Mitchell OffRL 14 27 0 10 Feb 2022
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding Seonguk Park Gyubok Lee Manoj Bhat Jimin Seo Minseok Kang Jonathan M Francis Ashwin R. Jadhav Paul Pu Liang Louis-Philippe Morency 110 117 0 06 Mar 2020
Data-efficient Domain Randomization with Bayesian Optimization Fabio Muratore C. Eilers Michael Gienger Jan Peters OOD 58 77 0 05 Mar 2020