ray/release/rllib_tests/app_config.yaml
Steven Morad 259429bdc3
Bump gym dep to 0.24 (#26190)
Co-authored-by: Steven Morad <smorad@anyscale.com>
Co-authored-by: Avnish <avnishnarayan@gmail.com>
Co-authored-by: Avnish Narayan <38871737+avnishn@users.noreply.github.com>
2022-07-22 12:37:16 -07:00

21 lines
813 B
YAML
Executable file

base_image: {{ env["RAY_IMAGE_ML_NIGHTLY_GPU"] | default("anyscale/ray-ml:nightly-py37-gpu") }}
env_vars: {}
debian_packages:
- unzip
- zip
python:
# These dependencies should be handled by requirements_rllib.txt and
# requirements_ml_docker.txt
pip_packages:
- gym>=0.21.0,<0.24.1
conda_packages: []
post_build_cmds:
- pip3 uninstall -y ray || true && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }}
# TODO(jungong): remove once nightly image gets upgraded.
- pip install -U pybullet==3.2.0
- {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }}
# Clone the rl-experiments repo for offline-RL files.
- git clone https://github.com/ray-project/rl-experiments.git
- cp rl-experiments/halfcheetah-sac/2021-09-06/halfcheetah_expert_sac.zip ~/.