Saurabh Kumar - RankMe

22 papers A* 7Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Conformal Transformations for Symmetric Power Transformers. CoRR Saurabh Kumar, Jacob Buckman, Carles Gelada, Sean Zhang
2025	J	`jnl`	Continual Learning as Computationally Constrained Reinforcement Learning. Found. Trends Mach. Learn. Saurabh Kumar, Henrik Marklund, Ashish Rao, Yifan Zhu, Hong Jun Jeon, Yueyang Liu, Benjamin Van Roy
2025	A*	`conf`	Learning Continually by Spectral Regularization. ICLR Alex Lewandowski, Michal Bortkiewicz, Saurabh Kumar, András György, Dale Schuurmans, Mateusz Ostaszewski, Marlos C. Machado
2024	J	`jnl`	Learning Continually by Spectral Regularization. CoRR Alex Lewandowski, Saurabh Kumar, Dale Schuurmans, András György, Marlos C. Machado
2024	—	`conf`	Maintaining Plasticity in Continual Learning via Regenerative Regularization. CoLLAs Saurabh Kumar, Henrik Marklund, Benjamin Van Roy
2024	J	`jnl`	Satisficing Exploration for Deep Reinforcement Learning. CoRR Dilip Arumugam, Saurabh Kumar, Ramki Gummadi, Benjamin Van Roy
2024	J	`jnl`	The Need for a Big World Simulator: A Scientific Challenge for Continual Learning. CoRR Saurabh Kumar, Hong Jun Jeon, Alex Lewandowski, Benjamin Van Roy
2023	J	`jnl`	Continual Learning as Computationally Constrained Reinforcement Learning. CoRR Saurabh Kumar, Henrik Marklund, Ashish Rao, Yifan Zhu, Hong Jun Jeon, Yueyang Liu, Benjamin Van Roy
2023	J	`jnl`	Maintaining Plasticity via Regenerative Regularization. CoRR Saurabh Kumar, Henrik Marklund, Benjamin Van Roy
2022	A*	`conf`	A Parametric Class of Approximate Gradient Updates for Policy Optimization. ICML Ramki Gummadi, Saurabh Kumar, Junfeng Wen, Dale Schuurmans
2022	J	`jnl`	A Parametric Class of Approximate Gradient Updates for Policy Optimization. CoRR Ramki Gummadi, Saurabh Kumar, Junfeng Wen, Dale Schuurmans
2021	A*	`conf`	Characterizing the Gap Between Actor-Critic and Policy Gradient. ICML Junfeng Wen, Saurabh Kumar, Ramki Gummadi, Dale Schuurmans
2021	J	`jnl`	Characterizing the Gap Between Actor-Critic and Policy Gradient. CoRR Junfeng Wen, Saurabh Kumar, Ramki Gummadi, Dale Schuurmans
2020	A*	`conf`	Gradient Surgery for Multi-Task Learning. NeurIPS Tianhe Yu, Saurabh Kumar, Abhishek Gupta, Sergey Levine, Karol Hausman, Chelsea Finn
2020	J	`jnl`	Gradient Surgery for Multi-Task Learning. CoRR Tianhe Yu, Saurabh Kumar, Abhishek Gupta, Sergey Levine, Karol Hausman, Chelsea Finn
2020	A*	`conf`	One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL. NeurIPS Saurabh Kumar, Aviral Kumar, Sergey Levine, Chelsea Finn
2020	J	`jnl`	One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL. CoRR Saurabh Kumar, Aviral Kumar, Sergey Levine, Chelsea Finn
2019	A*	`conf`	DeepMDP: Learning Continuous Latent Space Models for Representation Learning. ICML Carles Gelada, Saurabh Kumar, Jacob Buckman, Ofir Nachum, Marc G. Bellemare
2019	J	`jnl`	DeepMDP: Learning Continuous Latent Space Models for Representation Learning. CoRR Carles Gelada, Saurabh Kumar, Jacob Buckman, Ofir Nachum, Marc G. Bellemare
2019	A*	`conf`	Statistics and Samples in Distributional Reinforcement Learning. ICML Mark Rowland, Robert Dadashi, Saurabh Kumar, Rémi Munos, Marc G. Bellemare, Will Dabney
2019	J	`jnl`	Statistics and Samples in Distributional Reinforcement Learning. CoRR Mark Rowland, Robert Dadashi, Saurabh Kumar, Rémi Munos, Marc G. Bellemare, Will Dabney
2018	J	`jnl`	Dopamine: A Research Framework for Deep Reinforcement Learning. CoRR Pablo Samuel Castro, Subhodeep Moitra, Carles Gelada, Saurabh Kumar, Marc G. Bellemare