conftrace_

Ahmed H. Qureshi

3 papers · 2019–2023 · 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

Jump to papers ↓

🌍 Conference Polyglot · Bronze

Venues

ICLR (2) CoRL (1)

Top co-authors

Michael C. Yip (2) Byron Boots (2) Yuzhe Qin (1) Taylor Henderson (1) Jacob J. Johnson (1) Manav Kulshrestha (1)

Research topics

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

Keywords

transfer learning (2) variational inference (1) scene understanding (1) inverse reinforcement learning (1) hierarchical reinforcement learning (1) robot manipulation (1) generative adversarial network (1) graph attention network (1) skill transfer (1) policy composition (1) rearrangement planning (1) multi-level planning (1) deep reinforcement learning (1) empowerment regularization (1)

Papers

Structural Concept Learning via Graph Attention for Multi-Level Rearrangement Planning CoRL 2023 Composing Task-Agnostic Policies with Deep Reinforcement Learning ICLR 2020 Adversarial Imitation via Variational Inverse Reinforcement Learning ICLR 2019