Record of notable changes in this project
- Examples of all Isaac Gym environments (preview 3)
- Tensorboard file iterator for data post-processing
- Init and evaluate agents in ParallelTrainer
- CEM, SARSA and Q-learning agents
- Tabular model
- Parallel training using multiprocessing
- Isaac Gym utilities
- Initialize agents in a separate method
- Change the name of the
networks
argument tomodels
- Reset environments after post-processing
- DQN and DDQN agents
- Export memory to files
- Postprocessing utility to iterate over memory files
- Model instantiator utility to allow fast development
- More examples and contents in the documentation
- Clip actions using the whole space's limits
First official release