ml-agents

目录树: 0ac129c5

作者	SHA1	备注	提交日期
Arthur Juliani	982fab41	Initial commit	7 年前
vincentpierre	5db042c6	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	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
GitHub	59a2bbe0	Improve memory management (#180 ) * More efficiently allocate memory when sending states * Code clean-up * Additional changes * More GC reduction * Remove state list initialization from example environments * Use built-in json tool to serialize state message * Remove commented code * Use more efficient CompareTag * Comments before code * Use type inference where appropriate	7 年前
GitHub	f134016b	On Demand Decision (#308 ) * On Demand Decision : Use RequestDecision and RequestAction * New Agent Inspector : Use it to set On Demand Decision * New BrainParameters interface * LSTM memory size is now set in python * New C# API * Semantic Changes * Replaced RunMDP * New Bouncer Environment to test On Demand Dscision	7 年前
GitHub	7914387f	Develop communicator redesign (#638 ) * [containers] Enables container support for scenes that use visual observations * [Initial Commit] Works only with simple balance ball * [Optimiztion] Store the academy in the brainBatcher as a temporary measure * [Modifications] Made it work from the editor as a prototype * [Made socket communicator and reimplmented all functionalities] * [Forgotten file] removed .meta file * [Forgot the meta file] * [Metafile] deleted metafile * [Comments] Removed dead code * [Comments] Added some descriptions * [Bug Fix] Multi brain scenario * [improved AgentInfo converter] * [Optimization] Remove VectorObs since StackedVectorObs is present in the AgentInfo protobuf object * [Timeout] Implemented a timeout for the rpc communicator in Unity * [Libraries] Added the C# Protobuf and Grpc libraries * [Requirements] Added protobuf 3.5.2 to the requirements * [Code Formating] Removed dead code and split some lines ...	7 年前
Arthur Juliani	d4a2df66	Namespacification (#814 ) * [Namespace created] Added the namespace MLAgents on the C# scripts	7 年前
Arthur Juliani	5e48766d	Remove discrete observations	7 年前

8 次代码提交 (0ac129c5-da4a-4800-8aeb-a6eb65999898)