ml-agents

分支: main

作者	SHA1	备注	提交日期
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
Arthur Juliani	85ae912d	Dev docs (#361 ) New documentation structure and content.	6 年前
GitHub	a9ad3dbc	Updated the diagrams on the docs (#3779 ) * Updated the diagrams * Addressing comments	4 年前
GitHub	0dff739b	Release mm GitHub docs (#3864 ) * Improvements to Key Components section of ML-Agents Overview - Moved some documentation from Learning-Environment-Design. - Added the trainers vs LL-API separation. - Made a note about gym-unity. - Some update to the Agent/Behavior sections - Updated diagrams to reflect new side channels. Made Behavior type a consistent color. * Reorganizing the overview file and creating new (empty) sections This change defines the new structure for the overview doc. Subsequent commits will fill in the sections and rewrite existing sections. * Reorganizing the main Training ML-Agents page Re-organizes into feature-specific sections that somewhat mirror the previous commit of reorganizing the overview doc. Subsequent commits will populate these empty sections. * Adding Deep RL - Update ML-Agents-Overview with description of DeepRL training algorithms - Decribe the common and trainer-specific hyperparams in Training-ML-Agents. - Removed ...	4 年前

4 次代码提交 (main)