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Documentation Index

Fetch the complete documentation index at: https://docs.generalrobotics.dev/llms.txt

Use this file to discover all available pages before exploring further.

Once the trained policy has been trained, it can be deployed in all the supported as well as custom environments. Setting the task as GRID-Isaac-CustomRL-v0 and specifying the environment in the env.yaml enables users to use the trained policy in diverse environments. A sample agent.yaml file for inference is shown below: 
- rsl_rl_agent:
    type: "rsl_rl"
    mode: "play"
    config: 
      resume: false
      video: false
      video_length: 200
      video_interval: 2000
      empirical_normalization: false
      experiment_name: "my_experiment_name"
      load_run: .*
      load_checkpoint: model.*