rl
rl copied to clipboard
First draft for modular Hindsight Experience Replay Transform
Description
I have added the Hindsight Experience Replay Transform specifically implementing the future and last strategy as described in the paper. The transform is a combination of 3 transforms:
- HERSubGoalSampler: It's responsible for sampling indexes for the subgoals and can be changed with another subgoal sampling method for the specific use case.
- HERSubGoalAssigner: It's the method responsible for creating new trajectories given the subgoal indices.
- HERRewardTransform: While it might not necessarily need to be a separate transform yet, it's the method responsible for reassigning the rewards to the newly generated trajectories.
Motivation and Context
It's a modular implementation for hindsight experience replay as requested #1819
- [ ] I have raised an issue to propose this change (required for new features and bug fixes)
Types of changes
What types of changes does your code introduce? Remove all that do not apply:
- [ ] Bug fix (non-breaking change which fixes an issue)
- [x] New feature (non-breaking change which adds core functionality)
- [ ] Breaking change (fix or feature that would cause existing functionality to change)
- [ ] Documentation (update in the documentation)
- [ ] Example (update in the folder of examples)
Checklist
Go over all the following points, and put an x in all the boxes that apply.
If you are unsure about any of these, don't hesitate to ask. We are here to help!
- [x] I have read the CONTRIBUTION guide (required)
- [x] My change requires a change to the documentation.
- [ ] I have updated the tests accordingly (required for a bug fix or a new feature).
- [ ] I have updated the documentation accordingly.
:link: Helpful Links
:test_tube: See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/rl/2667
- :page_facing_up: Preview Python docs built from this PR
Note: Links to docs will display an error until the docs builds have been completed.
This comment was automatically generated by Dr. CI and updates every 15 minutes.