Vedant Shah
Vedant Shah
genrl 0.0.2 requires gym 0.17.1 whereas pettingzoo 1.3.3 requires gym 0.17.2
This is a very barebones implementation of maddpg. To Do : - [x] Complete PettingZooInterface - [ ] test training - [ ] Other misc things
Several Deep RL agents that are missing such as A2C, A3C which can be added. Further work could also adding MARL agents such as MAA2C or MADDPG
TO DO: - [x] Change comm scheme - [x] Add CUDA support - [x] Add docstrings - [x] Add support for remaining kwargs of ```pygad.GA``` - [x] Add more logging...
**TO DO** - [x] Add Changelog Automation (PR #87) - [ ] Integrate PyGAD into the framework - [x] Add multi-cartpole emmiter-receiver example (PR [#48](https://github.com/aidudezzz/deepworlds/pull/48)) - [x] Add SupervisorEnvolutionary class...
Closes #41 * I have used the following action : https://github.com/charmixer/auto-changelog-action * The maintainer will need to enter his/her email address linked to the github account and github username in...
# 🚀 Feature Request Add support for Dreamer and Dreamerv2 ## Motivation Dreamer and Dreamerv2 are important and current SOTA in mbrl. Few standard implementations are available for both Dreamer...
Description: * The multi-cartpole grid example consists of 9 cartpole robots each present in one block of a 3x3 grid * Each cartpole robot functions independently of each other *...
Description: This is an example for training the Cartpole robot using the new `SupervisorEvolutionary` class of deepbots To Do: - [x] Add cuda support - [x] Find optimal hyperparams for...