Jingwei Zhang - RankMe

23 papers A* 4A 2C 1Journal 15

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Game On: Towards Language Models as RL Experimenters. CoRR Jingwei Zhang, Thomas Lampe, Abbas Abdolmaleki, Jost Tobias Springenberg, Martin A. Riedmiller
2024	A*	`conf`	Genie: Generative Interactive Environments. ICML Jake Bruce, Michael D. Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Bechtle, Feryal M. P. Behbahani, Stephanie C. Y. Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott E. Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktäschel
2024	J	`jnl`	Genie: Generative Interactive Environments. CoRR Jake Bruce, Michael Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Bechtle, Feryal M. P. Behbahani, Stephanie Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott E. Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktäschel
2024	A*	`conf`	Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots. ICRA Thomas Lampe, Abbas Abdolmaleki, Sarah Bechtle, Sandy H. Huang, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin A. Riedmiller
2024	A*	`conf`	Offline Actor-Critic Reinforcement Learning Scales to Large Models. ICML Jost Tobias Springenberg, Abbas Abdolmaleki, Jingwei Zhang, Oliver Groth, Michael Bloesch, Thomas Lampe, Philemon Brakel, Sarah Bechtle, Steven Kapturowski, Roland Hafner, Nicolas Heess, Martin A. Riedmiller
2024	J	`jnl`	Offline Actor-Critic Reinforcement Learning Scales to Large Models. CoRR Jost Tobias Springenberg, Abbas Abdolmaleki, Jingwei Zhang, Oliver Groth, Michael Bloesch, Thomas Lampe, Philemon Brakel, Sarah Bechtle, Steven Kapturowski, Roland Hafner, Nicolas Heess, Martin A. Riedmiller
2023	J	`jnl`	A Generalist Dynamics Model for Control. CoRR Ingmar Schubert, Jingwei Zhang, Jake Bruce, Sarah Bechtle, Emilio Parisotto, Martin A. Riedmiller, Jost Tobias Springenberg, Arunkumar Byravan, Leonard Hasenclever, Nicolas Heess
2023	J	`jnl`	Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning. CoRR Cristina Pinneri, Sarah Bechtle, Markus Wulfmeier, Arunkumar Byravan, Jingwei Zhang, William F. Whitney, Martin A. Riedmiller
2023	J	`jnl`	Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains. CoRR Jingwei Zhang, Jost Tobias Springenberg, Arunkumar Byravan, Leonard Hasenclever, Abbas Abdolmaleki, Dushyant Rao, Nicolas Heess, Martin A. Riedmiller
2023	J	`jnl`	Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots. CoRR Thomas Lampe, Abbas Abdolmaleki, Sarah Bechtle, Sandy H. Huang, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin A. Riedmiller
2021	—	`—`	Learning navigation policies with deep reinforcement learning. Jingwei Zhang
2020	A	`conf`	Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning. IROS Shengchao Yan, Jingwei Zhang, Daniel Büscher, Wolfram Burgard
2020	J	`jnl`	Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning. CoRR Shengchao Yan, Jingwei Zhang, Daniel Büscher, Wolfram Burgard
2019	J	`jnl`	Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration. CoRR Jingwei Zhang, Niklas Wetzel, Nicolai Dorka, Joschka Boedecker, Wolfram Burgard
2019	J	`jnl`	VR-Goggles for Robots: Real-to-Sim Domain Adaptation for Visual Control. IEEE Robotics Autom. Lett. Jingwei Zhang, Lei Tai, Peng Yun, Yufeng Xiong, Ming Liu, Joschka Boedecker, Wolfram Burgard
2018	J	`jnl`	Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning. CoRR Oleksii Zhelo, Jingwei Zhang, Lei Tai, Ming Liu, Wolfram Burgard
2018	A*	`conf`	Socially Compliant Navigation Through Raw Depth Inputs with Generative Adversarial Imitation Learning. ICRA Lei Tai, Jingwei Zhang, Ming Liu, Wolfram Burgard
2018	J	`jnl`	VR Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control. CoRR Jingwei Zhang, Lei Tai, Yufeng Xiong, Ming Liu, Joschka Boedecker, Wolfram Burgard
2017	A	`conf`	Deep reinforcement learning with successor features for navigation across similar environments. IROS Jingwei Zhang, Jost Tobias Springenberg, Joschka Boedecker, Wolfram Burgard
2017	J	`jnl`	Neural SLAM. CoRR Jingwei Zhang, Lei Tai, Joschka Boedecker, Wolfram Burgard, Ming Liu
2017	C	`conf`	Perspectives on Deep Multimodel Robot Learning. ISRR Wolfram Burgard, Abhinav Valada, Noha Radwan, Tayyab Naseer, Jingwei Zhang, Johan Vertens, Oier Mees, Andreas Eitel, Gabriel L. Oliveira
2017	J	`jnl`	Socially-compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning. CoRR Lei Tai, Jingwei Zhang, Ming Liu, Wolfram Burgard
2016	J	`jnl`	Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments. CoRR Jingwei Zhang, Jost Tobias Springenberg, Joschka Boedecker, Wolfram Burgard