A Minimal Example of Isaac Gym with DQN and PPO
This repository provides a minimal example of NVIDIA’s Isaac Gym, to assist other researchers like me to quickly understand the code structure, to be able to design fully customised large-scale reinforcement learning experiments. The example is based on the official implementation from the Isaac Gym’s Benchmark Experiments, for which we have followed a similar implementation on Cartpole, but with a minimal number of lines of code aiming for maximal readability, and without using any third-party RL frameworks. Note: The current […]
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