Vince Jankovics 68444cd390 [tune] Custom resources per worker added to default_resource_request (#24463) ... This resolves the `TODO(ekl): add custom resources here once tune supports them` item. Also, related to the discussion [here](https://discuss.ray.io/t/reserve-workers-on-gpu-node-for-trainer-workers-only/5972/5). Co-authored-by: Kai Fricke <kai@anyscale.com>		2022-06-06 22:41:02 +01:00
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tests	[RLlib] Move all remaining algos into algorithms directory. (#25366)	2022-06-04 07:35:24 +02:00
__init__.py	[RLlib] Move all remaining algos into algorithms directory. (#25366)	2022-06-04 07:35:24 +02:00
impala.py	[tune] Custom resources per worker added to default_resource_request (#24463)	2022-06-06 22:41:02 +01:00
impala_tf_policy.py	[RLlib] Move all remaining algos into algorithms directory. (#25366)	2022-06-04 07:35:24 +02:00
impala_torch_policy.py	[RLlib] Move all remaining algos into algorithms directory. (#25366)	2022-06-04 07:35:24 +02:00
vtrace_tf.py	[RLlib] Move all remaining algos into algorithms directory. (#25366)	2022-06-04 07:35:24 +02:00
vtrace_torch.py	[RLlib] Move all remaining algos into algorithms directory. (#25366)	2022-06-04 07:35:24 +02:00