Comments (1)
This has been done for training updates, but not for act updates (which would need a separate counter).
The training counter variable is held by the graph_executor under self.global_training_timestep
and must be increased by Agents by calling self._graph_fn_training_step (which returns the increment up and may take another op for control dependencies). All current Agents execute this call.
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Related Issues (20)
- [Algorithm] SAC: Add discrete actions HOT 1
- Support for MARL HOT 3
- [Algorithms] Container actions for SAC HOT 1
- Using a custom gym HOT 4
- Agent stats logging HOT 7
- Checkpoints not created HOT 4
- [Algorithms] Support fully customised baseline networks HOT 1
- [API] Describe full kwargs in agents, not **kwargs. HOT 1
- [Tests] CI cleanup.
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- [Core] Make it optional for Components to describe which input-args they need in order to create their variables.
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