ml-agents

目录树: 8317a659

作者	SHA1	备注	提交日期
Arthur Juliani	982fab41	Initial commit	7 年前
vincentpierre	d421a300	updated the tests of unityagents	7 年前
Arthur Juliani	51f23cd2	0.2 Update * added broadcast to the player and heuristic brain. Allows the python API to record actions taken along with the states and rewards * removed the broadcast checkbox Added a Handshake method for the communicator The academy will try to handshake regardless of the brains present Player and Heuristic brains will send their information through the communicator but will not receive commands * bug fix : The environment only requests actions from external brains when unique * added warning in case no brins are set to external * fix on the instanciation of coreBrains, fix on the conversion of actions to arrays in the BrainInfo received from step * default discrete action is now 0 bug fix for discrete broadcast action (the action size should be one in Agents.cs) modified Tennis so that the default action is no action modified the TemplateDecsion.cs to ensure non null values are sent from Decide() and MakeMemory() * minor fixes * need to convert the s...	7 年前
vincentpierre	7b534423	updated tests	7 年前
Arthur Juliani	de700c3a	Multi Brain Training and Recurrent state encoder (#166 ) * `learn.py` is now main script for training brains. * Simultaneous multi-brain training is now possible. * `ghost-trainer` allows for proper training in adversarial scenarios. * `imitation-trainer` provides a basic implementation of real-time behavioral cloning. * All trainer hyperparameters now exist in `.yaml` files. * `PPO.ipynb` removed. * LSTM model added. * More dynamic buffer class to handle greater variety of scenarios.	7 年前
vincentpierre	62089508	Modified the tests	7 年前
vincentpierre	1bbaf0dd	added test in test_unityagents.py for curriculum class	7 年前
GitHub	e676017b	Reorganize learn.py (#302 ) Split learn.py into learn.py as command-line wrapper, and trainer_controller.py as core trainer/env logic.	7 年前
GitHub	8317a659	Behavioral Cloning & Trainers Reorg (#328 ) * Implement behavioral cloning for cc/dc, fc/rnn, state/observations. * Re-organize folder structure in anticipation of unitytrainers as a package. * Create demo environment BananaImitation to validate behavioral cloning. * Fixes #336	7 年前

9 次代码提交 (8317a659-4f50-4460-acbb-0518536227d5)