Sebastian Dittert

3 papers · 2021–2024 · 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

ICLR (1) ICML (1) NeurIPS (1)

Top co-authors

Gianni De Fabritiis (3) Vincent Moens (2) Matteo Bettini (1) Xiaomeng Yang (1) Vikash Kumar (1) Gabriele Libardi (1) Shagun Sodhani (1) Albert Bou (1)

Research topics

Artificial Intelligence (2) Reinforcement Learning (2) Core AI (2) Methods (2) Deep Learning (1) Machine Learning (1) Robotics (1) Applications · Reinforcement Learning (1) Applications · Robotics (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1)

Keywords

reinforcement learning (2) imitation learning (1) decision making (1) computational efficiency (1) proximal policy optimization (1) exploration strategy (1) sparse reward (1) control task (1) end-to-end training (1) robotics education (1) open-source library (1) deep reinforcement learning (1) lego robot (1)

Papers

BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO NeurIPS 2024 TorchRL: A data-driven decision-making library for PyTorch ICLR 2024 Guided Exploration with Proximal Policy Optimization using a Single Demonstration ICML 2021