In IsaacGymEnvs demo, how can I reload the MLP .pth parameters in pytorch or libtorch?

[Abi64]

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Sim_to_real problem

yeah Orbit is the new version of Leeged-gym, here is a code sample from orbit standalone examples, it first load a pth file and convert it to onnx and the rest: # load previously trained model ppo_runner = OnPolicyRunner(env, agent_cfg.to_dict(), log_dir=None, device=agent_cfg.device) ppo_runner.load(resume_path) print(f"[INFO]: Loading model checkpoint from: {resume_path}") # obtain the trained policy for inference policy = ppo_runner.get_inference_policy(device=env.unwrapped.device) # expor…