[Algorithm] TD3+BC

[BY571]

Description

Adds the offline RL algorithm TD3+BC as described in the paper A Minimalist Approach to
Offline Reinforcement Learning.

Performance is verified for half-cheeta medium dataset:

Motivation and Context

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You can use the syntax close #15213 if this solves the issue #15213

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[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/rl/2249

• 📄 Preview Python docs built from this PR

Note: Links to docs will display an error until the docs builds have been completed.

❌ 4 New Failures, 1 Unrelated Failure

As of commit acc9baf with merge base a151923 ():

NEW FAILURES - The following jobs have failed:

• Continuous Benchmark (PR) / CPU Pytest benchmark (gh)
  Workflow failed! Resource not accessible by integration
• Continuous Benchmark (PR) / GPU Pytest benchmark (gh)
  Workflow failed! Resource not accessible by integration
• Habitat Tests on Linux / tests (3.9, 12.1) / linux-job (gh)
  RuntimeError: Command docker exec -t 37973d1520f3a39f9c4b301ce2be78d94e101d27e29255fb4e6e9463c168ed64 /exec failed with exit code 139
• Unit-tests on Linux / tests-optdeps (3.10, 12.1) / linux-job (gh)
  RuntimeError: Command docker exec -t 7cedf586ca5a98e3db66f8ca9d4dce6473d24227dac7d79bb9587ea3d04cd1fa /exec failed with exit code 1

BROKEN TRUNK - The following job failed but were present on the merge base:

👉 Rebase onto the `viable/strict` branch to avoid these failures

• Unit-tests on Windows / unittests-cpu / windows-job (gh) (trunk failure)
  test/test_transforms.py::TestActionDiscretizer::test_trans_parallel_env_check[False]

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[vmoens]

LGTM thanks!

[vmoens]

LGTM, just need a few more doctrings. I added some in CrossQ, feel free to take them as example

[BY571]

Docstrings are updated :)