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License: MIT License
Adaptive control-oriented meta-learning for nonlinear systems
License: MIT License
In the utils.py, odeint_fixed_step method, the jnp.linspace gets num_steps which is numpy.float64. However, jnp.linspace takes integer as third input, thus a data type error occurs.
Hello!When I run the command ./train.sh , I find that the gradient is infinite and weights are not updated during meta training of controller parameters. So I seek for help sincerely.
Hello!When I run the command ./train.sh , I find that the gradients are infinite and weights are not updated during meta training of controller parameters. Then,I find the control input (\tau and u) is 'nan' by running the command generate_data.py. So I seek for help sincerely.
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