policy

NeuralLaplaceControl

samholt · PyTorch

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Overview

Name

Author

samholt

Framework

PyTorch

License

MIT

Skill type

manipulation

Evidence level

untested

Task description

Neural Laplace Control for Continuous-time Delayed Systems - an offline RL method combining Neural Laplace dynamics model and MPC planner to achieve near-expert policy performance in environments with irregular time intervals and an unknown constant delay.

Spaces

Action space

other · 0-dim · 0Hz

Observation space

type: other

Links

HuggingFace repo

null

Paper (arXiv)

null

Compatible robots

3+17 mentioned but not in catalog yet

SpotBoston Dynamics T1Booster Robotics ApolloApptronik

Compatible environments

No environments list NeuralLaplaceControl yet.

Datasets that reference this policy

No datasets reference NeuralLaplaceControl yet.