Reinforcement Learning Environment Config File RL Environment Configurator Configuration Dashboard YAML Viewer 1. Environment Physics & Control Environment ID Max Episode Steps Discount Factor (Gamma) Render Mode rgb_array human none 2. Observation Space (Input) Shape (Dimensions) Lower Bounds (Comma Separated) Upper Bounds (Comma Separated) 3. Action Space (Output) Space Type Discrete (Count) Box (Continuous) Number of Discrete Actions 4. Reward Mechanics Time Step Penalty Goal Completion Reward Distance Bonus Coefficient 5. Termination Conditions Goal Position (x,y) Goal Radius Failure Boundary (Radius) Collision Penalty 6. Agent Configuration Algorithm Learning Rate Batch Size View & Export YAML Generated Configuration File ## Click 'View & Export YAML' to generate the file content. Download YAML File Previous Next
