1.2.1

BenchMARL release paired with TorchRL 0.4.0

Many exctiting updates in this new release!

Most importantly there have been major inmpovements to the GNN and the addition of a new model: DeepSets

New features

• [Feature] Allow multiple observation keys in specs by @matteobettini in #82 #83
• [Feature] Buffer device by @matteobettini in #87
• [Feature] More VMAS tasks by @matteobettini in #88
• [Feature] Simplify extending benchmarl and improve extending examples by @matteobettini in #89
• [Example] Collecting with gradient by @matteobettini in #77
• [Feature] Share parameters between models by @matteobettini in #95
• [Feature] GNN build topology dynamically from positions by @matteobettini in #98
• [Model] DeepSets by @matteobettini in #96
• [Feature] PPO minibatch advantage by @matteobettini in #100
• [Feature] keep_checkpoints_num and checkpoint_at_end by @matteobettini in #102
• [Feature] Run evaluation on first iteration by @matteobettini in #108
• [Feature] Iteration timer includes evaluation by @matteobettini in #110

New Contributors

• @mchoilab made their first contribution in #105

Full Changelog: 1.2.0...1.2.1