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GymInteract
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Help with training an agent to play Atari games
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Brandon Rozek
8dd9ca617e
Incorporated concepts from the paper "Deep Q-Learning From Demonstrations"
2019-11-17 18:36:35 -05:00
.gitignore
Began separating config & networks, F1 for pausing, text functions, and more sneaky agent stuff
2019-10-27 20:42:37 -04:00
config.py
Updated configs and fixed threading issues
2019-11-05 07:09:49 -05:00
networks.py
Began separating config & networks, F1 for pausing, text functions, and more sneaky agent stuff
2019-10-27 20:42:37 -04:00
play.py
Incorporated concepts from the paper "Deep Q-Learning From Demonstrations"
2019-11-17 18:36:35 -05:00
play_env.py
Incorporated concepts from the paper "Deep Q-Learning From Demonstrations"
2019-11-17 18:36:35 -05:00
play_pong.sh
Back and forth between computer play and human play while training an agent
2019-09-21 19:03:00 -04:00
sneaky_config.py
Updated configs and fixed threading issues
2019-11-05 07:09:49 -05:00