[Environment, Docs] SMACv2 and docs on action masking

.circleci/unittest/linux_libs/scripts_smacv2/environment.yml

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+channels:
+  - pytorch
+  - defaults
+dependencies:
+  - pip
+  - pip:
+    - cloudpickle
+    - gym
+    - gym-notices
+    - importlib-metadata
+    - zipp
+    - pytest
+    - pytest-cov
+    - pytest-mock
+    - pytest-instafail
+    - pytest-rerunfailures
+    - pytest-error-for-skips
+    - expecttest
+    - pyyaml
+    - numpy==1.23.0
+    - git+https://github.com/oxwhirl/smacv2.git

.circleci/unittest/linux_libs/scripts_smacv2/install.sh

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+#!/usr/bin/env bash
+
+unset PYTORCH_VERSION
+# For unittest, nightly PyTorch is used as the following section,
+# so no need to set PYTORCH_VERSION.
+# In fact, keeping PYTORCH_VERSION forces us to hardcode PyTorch version in config.
+
+set -e
+
+eval "$(./conda/bin/conda shell.bash hook)"
+conda activate ./env
+
+if [ "${CU_VERSION:-}" == cpu ] ; then
+    version="cpu"
+else
+    if [[ ${#CU_VERSION} -eq 4 ]]; then
+        CUDA_VERSION="${CU_VERSION:2:1}.${CU_VERSION:3:1}"
+    elif [[ ${#CU_VERSION} -eq 5 ]]; then
+        CUDA_VERSION="${CU_VERSION:2:2}.${CU_VERSION:4:1}"
+    fi
+    echo "Using CUDA $CUDA_VERSION as determined by CU_VERSION ($CU_VERSION)"
+    version="$(python -c "print('.'.join(\"${CUDA_VERSION}\".split('.')[:2]))")"
+fi
+
+# submodules
+git submodule sync && git submodule update --init --recursive
+
+printf "Installing PyTorch with %s\n" "${CU_VERSION}"
+if [ "${CU_VERSION:-}" == cpu ] ; then
+    # conda install -y pytorch torchvision cpuonly -c pytorch-nightly
+    # use pip to install pytorch as conda can frequently pick older release
+#    conda install -y pytorch cpuonly -c pytorch-nightly
+    pip3 install --pre torch --extra-index-url https://download.pytorch.org/whl/nightly/cpu --force-reinstall
+else
+    pip3 install --pre torch --extra-index-url https://download.pytorch.org/whl/nightly/cu116 --force-reinstall
+fi
+
+# install tensordict
+pip install git+https://github.com/pytorch-labs/tensordict.git
+
+# smoke test
+python -c "import tensordict"
+
+printf "* Installing torchrl\n"
+python setup.py develop
+python -c "import torchrl"

.circleci/unittest/linux_libs/scripts_smacv2/post_process.sh

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+#!/usr/bin/env bash
+
+set -e
+
+eval "$(./conda/bin/conda shell.bash hook)"
+conda activate ./env