Ashvin Nair

5 papers · 2019–2022 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird

Venues

CoRL (2) ICML (2) ICLR (1)

Top co-authors

Sergey Levine (5) Vitchyr Pong (2) Patrick Yin (2) Shikhar Bahl (2) Alexander Khazatsky (1) Gengchen Yan (1) Glen Berseth (1) Homer Rich Walke (1) Steven Lin (1) Philippe Hansen-Estruch (1)

Research topics

Machine Learning (5) Reinforcement Learning (5) Learning Types (4) Methods (4) Artificial Intelligence (3) Applications (2) Core AI (2) Learning Paradigms (2) Robotics (1) Application Areas (1) Capabilities (1) Core Methods (1)

Keywords

offline reinforcement learning (2) self-supervised learning (2) goal-conditioned reinforcement learning (2) representation learning (2) robot learning (1) value function (1) off-policy learning (1) robot manipulation (1) skill learning (1) goal-conditioned policy (1) reward shaping (1) behavioral cloning (1) distributional shift (1) expectile regression (1) skill generalization (1) subgoal planning (1) self-supervised reinforcement learning (1) goal-reaching policy (1) state coverage (1) maximum-entropy goal distribution (1)

Papers

Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning ICML 2022 Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks CoRL 2022 Offline Reinforcement Learning with Implicit Q-Learning ICLR 2022 Skew-Fit: State-Covering Self-Supervised Reinforcement Learning ICML 2020 Contextual Imagined Goals for Self-Supervised Robotic Learning CoRL 2019