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Joseph Lim

5 papers · 2018–2020 · 3 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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+1 more ↓ 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird πŸš€ Conference Pioneer
πŸ“ˆ Trend Setter

Venues

CoRL (2) ICML (2) L4DC (1)

Top co-authors

Karl Pertsch (3) Youngwoon Lee (2) Shao-Hua Sun (1) Andrew Jaegle (1) Jun Yamada (1) Kostas Daniilidis (1) Gaurav Sukhatme (1) Shenghao Zhou (1) Konstantinos Derpanis (1) Ayush Jain (1)

Research topics

Artificial Intelligence (5) Core AI (4) Machine Learning (3) Reinforcement Learning (3) Methods (3) Deep Learning (2) Applications (2) Learning Paradigms (2) Learning Types Β· Deep Learning (2) Learning Types Β· Machine Learning (2) Computer Vision (1) Core Methods (1) Generation (1)

Keywords

reinforcement learning (3) multi-task learning (2) model-based planning (1) sequence modeling (1) sequence representation (1) policy learning (1) video understanding (1) program synthesis (1) hierarchical model (1) offline learning (1) robot manipulation (1) latent variable model (1) zero-shot generalization (1) action space (1) planning task (1) temporal representation (1) sequential task (1) intermediate representation (1) collision-free path (1) obstacle avoidance (1)

Papers

Accelerating Reinforcement Learning with Learned Skill Priors CoRL 2020 Generalization to New Actions in Reinforcement Learning ICML 2020 Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning L4DC 2020 Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments CoRL 2020 Neural Program Synthesis from Diverse Demonstration Videos ICML 2018