Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space



Kuan Fang , Patrick Yin , Ashvin Nair , Sergey Levine


   Access Paper or Ask Questions

Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning



Philippe Hansen-Estruch , Amy Zhang , Ashvin Nair , Patrick Yin , Sergey Levine

* 20 Pages, 15 Figures, 4 Tables 

   Access Paper or Ask Questions

Offline Reinforcement Learning with Implicit Q-Learning



Ilya Kostrikov , Ashvin Nair , Sergey Levine


   Access Paper or Ask Questions

Offline Meta-Reinforcement Learning with Online Self-Supervision



Vitchyr H. Pong , Ashvin Nair , Laura Smith , Catherine Huang , Sergey Levine

* 10 pages, 6 figures 

   Access Paper or Ask Questions

What Can I Do Here? Learning New Skills by Imagining Visual Affordances



Alexander Khazatsky , Ashvin Nair , Daniel Jing , Sergey Levine

* 10 pages, 10 figures. Presented at ICRA 2021. Project website: https://sites.google.com/view/val-rl 

   Access Paper or Ask Questions

DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies



Soroush Nasiriany , Vitchyr H. Pong , Ashvin Nair , Alexander Khazatsky , Glen Berseth , Sergey Levine

* ICRA 2021 

   Access Paper or Ask Questions

Accelerating Online Reinforcement Learning with Offline Datasets



Ashvin Nair , Murtaza Dalal , Abhishek Gupta , Sergey Levine

* 16 pages. Website: https://awacrl.github.io/ 

   Access Paper or Ask Questions

Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks



Gerrit Schoettler , Ashvin Nair , Juan Aparicio Ojea , Sergey Levine , Eugen Solowjow

* 9 pages, 8 figures 

   Access Paper or Ask Questions

1
2
3
>>