Maximilien Naveau
Control and Systems Engineering · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 20 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
Whom Maximilien Naveau trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Roy Featherstone (in Control and Systems Engineering)
Papers from Maximilien Naveau's perspective
Ordered by how strongly the researchers Maximilien Naveau trusts endorse each paper. Same corpus, a different order for every researcher.
- A unified approach for motion and force control of robot manipulators: The operational space formulation
- Synthesis and stabilization of complex behaviors through online trajectory optimization
- MuJoCo: A physics engine for model-based control
- Rigid Body Dynamics Algorithms
- Continuous control with deep reinforcement learning (International Conference on Learning Representations)
- Benchmarking Deep Reinforcement Learning for Continuous Control
- Asynchronous Methods for Deep Reinforcement Learning
- Emergence of Locomotion Behaviours in Rich Environments
- Playing Atari with Deep Reinforcement Learning (arXiv.org)
- OpenAI Gym
Their papers
- TriFinger: An Open-Source Robot for Learning Dexterity (2020) — 82 citations
- Crocoddyl: An Efficient and Versatile Framework for Multi-Contact Optimal Control (2019) — 381 citations