sudo-michael / hj-dqn-jax

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HJ DQN JAX

An implementation of "Bridging hamilton-jacobi safety analysis and reinforcement learning" by Jaime F Fisac, Neil F Lugovoy, Vicenç Rubies-Royo, Shromona Ghosh, Claire J Tomlin

For simplicity, states are just sampled uniformally.

Example:

python hj_dqn_brt.py --num-epochs 10_000 -batch-size 16_000 --exp-name dubins3d

Dependancies

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License:MIT License


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Language:Python 100.0%