Ge Yang - RankMe

23 papers A* 7Journal 12Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Rapid locomotion via reinforcement learning. Int. J. Robotics Res. Gabriel B. Margolis, Ge Yang, Kartik Paigwar, Tao Chen, Pulkit Agrawal
2023	A*	`conf`	Compositional Sculpting of Iterative Generative Processes. NeurIPS Timur Garipov, Sebastiaan De Peuter, Ge Yang, Vikas Garg, Samuel Kaski, Tommi S. Jaakkola
2023	J	`jnl`	Compositional Sculpting of Iterative Generative Processes. CoRR Timur Garipov, Sebastiaan De Peuter, Ge Yang, Vikas Garg, Samuel Kaski, Tommi S. Jaakkola
2023	—	`conf`	To the Noise and Back: Diffusion for Shared Autonomy. Robotics: Science and Systems Takuma Yoneda, Luzhe Sun, Ge Yang, Bradly C. Stadie, Matthew R. Walter
2023	J	`jnl`	To the Noise and Back: Diffusion for Shared Autonomy. CoRR Takuma Yoneda, Luzhe Sun, Ge Yang, Bradly C. Stadie, Matthew R. Walter
2022	A*	`conf`	Bi-linear Value Networks for Multi-goal Reinforcement Learning. ICLR Zhang-Wei Hong, Ge Yang, Pulkit Agrawal
2022	J	`jnl`	Bilinear value networks. CoRR Zhang-Wei Hong, Ge Yang, Pulkit Agrawal
2022	—	`conf`	Invariance Through Latent Alignment. Robotics: Science and Systems Takuma Yoneda, Ge Yang, Matthew R. Walter, Bradly C. Stadie
2022	A*	`conf`	Overcoming The Spectral Bias of Neural Value Approximation. ICLR Ge Yang, Anurag Ajay, Pulkit Agrawal
2022	J	`jnl`	Overcoming the Spectral Bias of Neural Value Approximation. CoRR Ge Yang, Anurag Ajay, Pulkit Agrawal
2022	—	`conf`	Rapid Locomotion via Reinforcement Learning. Robotics: Science and Systems Gabriel B. Margolis, Ge Yang, Kartik Paigwar, Tao Chen, Pulkit Agrawal
2022	J	`jnl`	Rapid Locomotion via Reinforcement Learning. CoRR Gabriel B. Margolis, Ge Yang, Kartik Paigwar, Tao Chen, Pulkit Agrawal
2021	J	`jnl`	Invariance Through Inference. CoRR Takuma Yoneda, Ge Yang, Matthew R. Walter, Bradly C. Stadie
2021	A*	`conf`	Learning Task Informed Abstractions. ICML Xiang Fu, Ge Yang, Pulkit Agrawal, Tommi S. Jaakkola
2021	J	`jnl`	Learning Task Informed Abstractions. CoRR Xiang Fu, Ge Yang, Pulkit Agrawal, Tommi S. Jaakkola
2021	A*	`conf`	World Model as a Graph: Learning Latent Landmarks for Planning. ICML Lunjun Zhang, Ge Yang, Bradly C. Stadie
2020	—	`conf`	Plan2Vec: Unsupervised Representation Learning by Latent Plans. L4DC Ge Yang, Amy Zhang, Ari S. Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra
2020	J	`jnl`	Plan2Vec: Unsupervised Representation Learning by Latent Plans. CoRR Ge Yang, Amy Zhang, Ari S. Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra
2020	J	`jnl`	World Model as a Graph: Learning Latent Landmarks for Planning. CoRR Lunjun Zhang, Ge Yang, Bradly C. Stadie
2018	A*	`conf`	Learning Plannable Representations with Causal InfoGAN. NeurIPS Thanard Kurutach, Aviv Tamar, Ge Yang, Stuart J. Russell, Pieter Abbeel
2018	J	`jnl`	Learning Plannable Representations with Causal InfoGAN. CoRR Thanard Kurutach, Aviv Tamar, Ge Yang, Stuart Russell, Pieter Abbeel
2018	J	`jnl`	Some Considerations on Learning to Explore via Meta-Reinforcement Learning. CoRR Bradly C. Stadie, Ge Yang, Rein Houthooft, Xi Chen, Yan Duan, Yuhuai Wu, Pieter Abbeel, Ilya Sutskever
2018	A*	`conf`	The Importance of Sampling inMeta-Reinforcement Learning. NeurIPS Bradly C. Stadie, Ge Yang, Rein Houthooft, Xi Chen, Yan Duan, Yuhuai Wu, Pieter Abbeel, Ilya Sutskever