Scalable Learning of Safety Guarantees for Autonomous Systems using Hamilton-Jacobi Reachability

no code implementations • 15 Jan 2021 • Sylvia Herbert, Jason J. Choi, Suvansh Sanjeev, Marsalis Gibson, Koushil Sreenath, Claire J. Tomlin

However, work to learn and update safety analysis is limited to small systems of about two dimensions due to the computational complexity of the analysis.

Ecological Reinforcement Learning

no code implementations • 22 Jun 2020 • John D. Co-Reyes, Suvansh Sanjeev, Glen Berseth, Abhishek Gupta, Sergey Levine

Much of the current work on reinforcement learning studies episodic settings, where the agent is reset between trials to an initial state distribution, often with well-shaped reward functions.

reinforcement-learning Reinforcement Learning (RL)

Guiding Policies with Language via Meta-Learning

1 code implementation • ICLR 2019 • John D. Co-Reyes, Abhishek Gupta, Suvansh Sanjeev, Nick Altieri, Jacob Andreas, John DeNero, Pieter Abbeel, Sergey Levine

However, a single instruction may be insufficient to fully communicate our intent or, even if it is, may be insufficient for an autonomous agent to actually understand how to perform the desired task.

Imitation Learning Instruction Following +1