pygeneses
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A PyTorch based DeepRL framework to train and study artificial species in bio-inspired environments.
**Describe the solution you'd like** Add a feature in VitaLineage that allows the user to display only the predecessors of the player. **Additional context** For example if the file '100-80.npy'...
**Describe the solution you'd like** Add a feature that allows the user to see only the successors of an agent instead of their whole family tree in VitaLineage Note: You...
**Describe the solution you'd like** Add a feature that allows the user to filter the results generated by VitaLineage for an agent based on minimum/maximum death age. **Additional context** For...
**Describe the solution you'd like** Add a feature that allows the user to filter the results generated by VitaLineage for an agent based on the sex of the member. **Additional...
**Describe the solution you'd like** Add a feature that allows the user to filter the results generated by VitaLineage for an agent based on the value of is_impotent (True or...
**Describe the solution you'd like** Diversity in Action would help infer whether the agent is performing a diverse range of actions or limiting itself to a few actions. Hence the...
**Describe the solution you'd like** A graph would make it easier to comprehend and infer results from the diversity in action metric. The graph should be suitable and insightful which...
**Describe the solution you'd like** Instead of obtaining the statistics of the agents only at the end, adding Live Statistics would make It easier to draw inferences throughout the life...
**Describe the solution you'd like** Instead of visualizing the environment for all the agents, select a particular agent and view the environment for that agent only. Note: You only start...
**Describe the solution you'd like** Instead of using a python script, a GUI can be used for training, with different hyperparameters available as drop-down lists. Note: You only start working...
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A PyTorch based DeepRL framework to train and study artificial species in bio-inspired environments.