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GitHub / stewy33 / pong-with-policy-gradients
Code for an intro to RL workshop. You'll be training a simple agent to play pong using policy gradients. Adapted from http://karpathy.github.io/2016/05/31/rl/
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stewy33%2Fpong-with-policy-gradients
Stars: 15
Forks: 2
Open Issues: 7
License: None
Language: Python
Repo Size: 82.1 MB
Dependencies:
43
Created: almost 4 years ago
Updated: about 1 month ago
Last pushed: over 1 year ago
Last synced: about 1 month ago
Topics: policy-gradients, pong, pytorch, reinforcement-learning, rl-workshop, tensorboard
Files
Dependencies
- Keras-Preprocessing ==1.1.2
- Markdown ==3.2.2
- Pillow ==7.2.0
- Werkzeug ==1.0.1
- absl-py ==0.10.0
- astunparse ==1.6.3
- atari-py ==0.2.6
- cachetools ==4.1.1
- certifi ==2020.6.20
- chardet ==3.0.4
- cloudpickle ==1.3.0
- future ==0.18.2
- gast ==0.3.3
- google-auth ==1.21.1
- google-auth-oauthlib ==0.4.1
- google-pasta ==0.2.0
- grpcio ==1.32.0
- gym ==0.17.2
- h5py ==2.10.0
- idna ==2.10
- importlib-metadata ==1.7.0
- numpy ==1.18.5
- oauthlib ==3.1.0
- opencv-python ==4.4.0.42
- opt-einsum ==3.3.0
- protobuf ==3.13.0
- pyasn1 ==0.4.8
- pyasn1-modules ==0.2.8
- pyglet ==1.5.0
- requests ==2.24.0
- requests-oauthlib ==1.3.0
- rsa ==4.6
- scipy ==1.4.1
- six ==1.15.0
- tensorboard ==2.3.0
- tensorboard-plugin-wit ==1.7.0
- tensorflow ==2.3.1
- tensorflow-estimator ==2.3.0
- termcolor ==1.1.0
- torch ==1.6.0
- urllib3 ==1.25.10
- wrapt ==1.12.1
- zipp ==3.1.0