ray/python
Eric Liang 2d543b6e19
[rllib] Refactor DQN to use an Evaluator abstraction (#1276)
This introduces rllib.Evaluator and rllib.Optimizer classes. Optimizers encapsulate a particular distributed optimization strategy for RL. Evaluators encapsulate the model graph, and once implemented, any Optimizer may be "plugged in" to any algorithm that implements the Evaluator interface.
2017-12-06 17:51:57 -08:00
..
ray [rllib] Refactor DQN to use an Evaluator abstraction (#1276) 2017-12-06 17:51:57 -08:00
build-wheel-macos.sh Make travis runs less verbose. (#1145) 2017-10-19 22:25:56 -07:00
build-wheel-manylinux1.sh Make travis runs less verbose. (#1145) 2017-10-19 22:25:56 -07:00
README-building-wheels.md Add script for building MacOS wheels. (#601) 2017-06-01 00:30:46 +00:00
setup.py Bump version number to 0.3.0. (#1247) 2017-11-27 23:02:29 -08:00