ray/rllib/tuned_examples/pong-impala-fast.yaml
Eric Liang dd70720578
[rllib] Rename sample_batch_size => rollout_fragment_length (#7503)
* bulk rename

* deprecation warn

* update doc

* update fig

* line length

* rename

* make pytest comptaible

* fix test

* fi sys

* rename

* wip

* fix more

* lint

* update svg

* comments

* lint

* fix use of batch steps
2020-03-14 12:05:04 -07:00

19 lines
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YAML

# This can reach 18-19 reward in ~3 minutes on p3.16xl head w/m4.16xl workers
# 128 workers -> 3 minutes (best case)
# 64 workers -> 4 minutes
# 32 workers -> 7 minutes
# See also: pong-impala.yaml, pong-impala-vectorized.yaml
pong-impala-fast:
env: PongNoFrameskip-v4
run: IMPALA
config:
rollout_fragment_length: 50
train_batch_size: 1000
num_workers: 128
num_envs_per_worker: 5
broadcast_interval: 5
max_sample_requests_in_flight_per_worker: 1
num_data_loader_buffers: 4
num_gpus: 2
model:
dim: 42