Master's Theses & Technical Reports - Sergey Levine
M.S.
Learning Open-World Robot Navigation from Experience
Dhruv Shah [2024]
End-to-End Robotic Reinforcement Learning without Reward Engineering
Avi Singh [2019]
Learning Image-Conditioned Dynamics Models for Control of Under-actuated Legged Millirobots
Anusha Nagabandi [2018]
Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation
Gregory Kahn [2018]
5th Year M.S.
Continuous Autonomous Improvement for Mobile Manipulation
Hrish Leen [2024]
Learning Factorizable Representation for Dynamical Visual Scene
Zeyu Yun [2024]
V-Former: Offline RL with Temporally-Extended Actions
Jeffrey Wu [2024]
VLM Guided Exploration via Image Subgoal Synthesis
Arjun Bhorkar [2024]
Benchmarks for RL on Goal-directed Language Tasks with LLMs
Charles Sun [2023]
Conservative Objective Models for Biological Sequence Design
Sathvik Kolli [2023]
IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies
Philippe Hansen-Estruch [2023]
Human-in-the-Loop Reinforcement Learning for Adaptive Assistive Interfaces
Jensen Gao [2022]
Adapting with Latent Variables in Model-Based Reinforcement Learning for Quadcopter Flight
Rachel Li [2020]
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies
Soroush Nasiriany [2020]
Model-Based Meta-Learning for Flight with Suspended Payloads
Suneel Belkhale [2020]
Goal-Induced Inverse Reinforcement Learning
Katie Luo [2019]