Matthias Plappert
OpenAI (United States)(US)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Robot Manipulation and Learning, Human Pose and Action Recognition, Evolutionary Algorithms and Applications, Anomaly Detection Techniques and Applications
Most-Cited Works
- → Learning dexterous in-hand manipulation(2019)1,558 cited
- → Evaluating Large Language Models Trained on Code(2021)1,403 cited
- → Solving Rubik's Cube with a Robot Hand(2019)630 cited
- → Parameter Space Noise for Exploration(2017)364 cited
- → Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research(2018)196 cited
- → Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks(2018)117 cited
- → Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks(2021)23 cited
- → Asymmetric self-play for automatic goal discovery in robotic manipulation(2021)21 cited