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Types & classes12 in github.com/AIcrowd/neurips2020-procgen-starter-kit

⨍ Functions 76◇ Types & classes 12
↓ 2 callersClassDefaultMapping
default_factory now takes as an argument the missing key.
rollout.py:325
↓ 2 callersClassProcgenEnvWrapper
Procgen Wrapper file
envs/procgen_env_wrapper.py:8
↓ 2 callersClassResidualBlock
models/impala_cnn_torch.py:9
↓ 2 callersClassRolloutSaver
Utility class for storing rollouts. Currently supports two behaviours: the original, which simply dumps everything to a pickle file once comp
rollout.py:57
↓ 1 callersClassConvSequence
models/impala_cnn_torch.py:24
↓ 1 callersClassCustomRandomAgent
Policy that takes random actions and never learns.
algorithms/custom_random_agent/custom_random_agent.py:13
ClassCustomCallbacks
Please refer to : https://github.com/ray-project/ray/blob/master/rllib/examples/custom_metrics_and_callbacks.py https://docs.ray
callbacks.py:13
ClassImpalaCNN
Network from IMPALA paper implemented in ModelV2 API. Based on https://github.com/ray-project/ray/blob/master/rllib/models/tf/visionnet_v2.p
models/impala_cnn_tf.py:32
ClassImpalaCNN
Network from IMPALA paper implemented in ModelV2 API. Based on https://github.com/ray-project/ray/blob/master/rllib/models/tf/visionnet_v2.p
models/impala_cnn_torch.py:46
ClassMyPreprocessorClass
Custom preprocessing for observations Adopted from https://docs.ray.io/en/master/rllib-models.html#custom-preprocessors
preprocessors/custom_preprocessor.py:6
ClassMyVisionNetwork
Generic vision network implemented in ModelV2 API.
models/my_vision_network.py:77
ClassRandomPolicy
Example of a random policy If you are using tensorflow/pytorch to build custom policies, you might find `build_tf_policy` and `build_torch_po
algorithms/random_policy/policy.py:7