Nathan Lambert
Nathan Lambert on Model-based RL, Trajectory-based models, Quadrotor control, Hyperparameter Optimization for MBRL, RL vs PID control, and more!
Nathan Lambert is a PhD Candidate at UC Berkeley.
Featured References
Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning
Nathan O. Lambert, Albert Wilcox, Howard Zhang, Kristofer S. J. Pister, Roberto Calandra
Objective Mismatch in Model-based Reinforcement Learning
Nathan Lambert, Brandon Amos, Omry Yadan, Roberto Calandra
Low Level Control of a Quadrotor with Deep Model-Based Reinforcement Learning
Nathan O. Lambert, Daniel S. Drew, Joseph Yaconelli, Roberto Calandra, Sergey Levine, Kristofer S.J. Pister
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan Lambert, André Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra
Additional References
- Nathan Lambert's blog
- Nathan Lambert on Google scholar
Creators and Guests
![Robin Ranjit Singh Chauhan](https://img.transistor.fm/qrlD8dfZtBRez_zCzQ6Ah8j57V13cwEjT7sHiXJGHDI/rs:fill:400:400:1/q:60/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9wZXJz/b24vOWI4Yjg4ZWYt/YmRmZi00ZWFkLTk4/YTgtMTRkZGFlZDFh/ZTJkLzE2Njc0MjY0/MDktaW1hZ2UuanBn.webp)
Host
Robin Ranjit Singh Chauhan
🌱 Head of Eng @AgFunder 🧠 AI:Reinforcement Learning/ML/DL/NLP🎙️Host @TalkRLPodcast 💳 ex-@Microsoft ecomm PgmMgr 🤖 @UWaterloo CompEng 🇨🇦 🇮🇳
![Nathan Lambert](https://img.transistor.fm/KwDW4PjtFfn3eufrR3zCYNAhCMrDuxegLmC6ISgCLVY/rs:fill:800:800:1/q:60/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lcGlz/b2RlLzQ5MDMyMi8x/NjMyODY5NzM2LWFy/dHdvcmsuanBn.webp)