ml-agents

目录树: 799bbad1

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
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	a809630f	Add config for crawler, and change crawler scene (#376 ) * Add config for crawler, and change crawler scene * Changed number of crawlers in scene to 12 * Changed Max-steps for crawlers to 5000 * Newer hyperparameters and newly trained crawler model * Clean up crawler code, and improve efficency	7 年前
GitHub	1409236e	made AgentAction take vectorAction and textAction (#397 )	7 年前
GitHub	addadada	[AddVectorObs] Modified the Examples (#409 ) * [AddVectorObs] Converted the Examples to use the new AddVectorObs * [AddVectorObs] Converted the Reacher to use the new AddVectorObs * [Improvement] One liner for adding the rotation	7 年前
GitHub	3b866e9f	Use Clipped Gaussian (#649 ) This PR makes the following changes: * Moves clipping of continuous control model into model itself. Output is now always [-1, 1]. * Internal model values are now clipped between [-3, 3] before being rescaled to [-1, 1] for output. * This improves training performance by providing a wider range of values within which the pdf of the gaussian can fall. Output of [-1, 1] is used to be more environment-creator friendly. * Fixes issue where epsilon was erroneously being used to reconstruct old probabilities during PPO update, leading to reduced learning performance. * Introduce ScaleAction() function within python to easily rescale values from [-1, 1] to arbitrary range. * Re-train all CC models using improved algorithm. All performance levels are equal or improved. In the case of Crawler, improvement is drastic. * Update documentation appropriately. * Made miscellaneous minor code style and optimization improvements within environments.	6 年前
GitHub	9594f3d8	Walker Environment (#720 ) * Add `Walker` example environment and documentation.	6 年前
Arthur Juliani	d4a2df66	Namespacification (#814 ) * [Namespace created] Added the namespace MLAgents on the C# scripts	6 年前

9 次代码提交 (799bbad1-eea2-4377-a35e-f15c99317203)