conftrace_

Alexander Li

3 papers · 2020–2021 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze

Venues

NeurIPS (2) ICLR (1)

Top co-authors

Pieter Abbeel (2) Ignasi Clavera (1) Lerrel Pinto (1) Deepak Pathak (1) Carlos Florensa (1)

Research topics

Reinforcement Learning (3) Methods (3) Artificial Intelligence (2) Deep Learning (1) Machine Learning (1) Architectures (1) Core AI (1) Learning Paradigms (1) Learning Types (1) Optimization & Theory (1)

Keywords

deep reinforcement learning (1) neural tangent kernel (1) reinforcement learning (1) sample efficiency (1) multi-task learning (1) transfer learning (1) policy gradient (1) inverse reinforcement learning (1) hierarchical reinforcement learning (1) skill discovery (1) off-policy learning (1) temporal abstraction (1) fourier feature (1) multi-task reinforcement learning (1) functional regularization (1) reward relabeling (1) behavior relabeling (1)

Papers

Functional Regularization for Reinforcement Learning via Learned Fourier Features NeurIPS 2021 Generalized Hindsight for Reinforcement Learning NeurIPS 2020 Sub-policy Adaptation for Hierarchical Reinforcement Learning ICLR 2020