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[Algorithm] MPPI planner #701
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* amend * [BugFix] ConvNet forward method with tensors of more than 4 dimensions (#686) * cnn forward fix * more general code * cnn testing * precommit run check * convnet tests * [Feature] add `standard_normal` for RewardScaling (#682) * Add standard_normal * give attribute access * Update standard_normal * Update tests * Fix tests * Address in-place scaling of reward * Improvise tests * [Feature] Jumanji envs (#674) * amend * [Feature] Default collate_fn (#688) * init * amend * amend * [BugFix] Fix Examples (#687) * amend * [Refactoring] Replace direct gym version checks with decorated functions (#691) * [Refactoring] Replace gym version checking with decorated functions (#) Initial commit. Only tests. * Refactoring in gym.py * More refactoring in gym.py * Completed refactoring * amend * amend * Version 0.0.3 (#696) * [Docs] Host TensorDict docs inside TorchRL docs (#693) * Pull tensordict docs into TorchRL docs * Add banner for tensordict docs * [BugFix] Fix docs build (#698) * [BugFix] Proper error messages for orphan transform creation (#697) * amend * [Feature] Append, init and insert transforms in ReplayBuffer (#695) * lint Co-authored-by: albertbou92 <albertbou92@users.noreply.github.com> Co-authored-by: Aditya Gandhamal <61016383+adityagandhamal@users.noreply.github.com> Co-authored-by: yingchenlin <yc.jon.lin@gmail.com> Co-authored-by: Sergey Ordinskiy <113687736+ordinskiy@users.noreply.github.com> Co-authored-by: Tom Begley <tomcbegley@gmail.com> Co-authored-by: Alan Schelten <alan@schelten.net>
Codecov Report
@@ Coverage Diff @@
## main #701 +/- ##
==========================================
+ Coverage 88.80% 88.81% +0.01%
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Files 123 123
Lines 21270 21228 -42
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- Hits 18888 18853 -35
+ Misses 2382 2375 -7
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# Conflicts: # test/test_modules.py # torchrl/modules/planners/cem.py
Description
Integrates the MPPI planner as presented in
https://arxiv.org/pdf/2203.04955.pdf
cc @nicklashansen