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2 changes: 2 additions & 0 deletions docs/source/release_notes.rst
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Expand Up @@ -14,6 +14,8 @@ Development - |version|
overlapping assignments and passive target spacecraft. Communication shares
channel data while preserving local data production and reward attribution.
See :doc:`the mixed ground and space imaging example <examples/mixed_environment>`.
* Add :doc:`the DQN training example <examples/dqn_training>`, which trains a DQN agent
in plain PyTorch using semi-MDP time discounting (``gamma ** d_ts``) in the TD target.
* Add :doc:`the space-to-space imaging example <examples/space_to_space_rso_imaging>`
for independently orbiting spacecraft:
replayable RSO catalogs, explicitly named observers, moving-target access,
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3 changes: 2 additions & 1 deletion examples/_default.rst
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Expand Up @@ -36,7 +36,8 @@ Training
.. toctree::
:maxdepth: 1

rllib_training
rllib_training
dqn_training
time_discounted_gae
async_multiagent_training
curriculum_learning
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