Unity 机器学习代理工具包 (ML-Agents) 是一个开源项目，它使游戏和模拟能够作为训练智能代理的环境。

unity3dunityunity-techreinforcement-ledeep-learningdeep-reinforcement-learningneural-networks

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目录树: 68965c7b

/main

/develop-generalizationTraining-TrainerController

/tag-0.2.0

/tag-0.2.1

/tag-0.2.1a

/tag-0.2.1c

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/hotfix-v0.9.2a

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/0.10.1

/develop-pyinstaller

/develop-horovod

/PhysXArticulations20201

/importdocfix

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/hh-develop-walljump_bugfixes

/develop-walljump-fix-sac

/hh-develop-walljump_rnd

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/develop-pytorch

/tag-0.11.0.dev2

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/tag-0.11.0.dev3

/develop

/release-0.12.0

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/tag-0.12.1

/2D-explorations

/asymm-envs

/tag-0.12.1.dev0

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/tag-0.12.1.dev1

/release-0.13.0

/release-0.13.1

/plugin-proof-of-concept

/release-0.14.0

/hotfix-bump-version-master

/soccer-fives

/release-0.14.1

/bug-failed-api-check

/test-recurrent-gail

/hh-add-icons

/release-0.15.0

/release-0.15.1

/hh-develop-all-posed-characters

/internal-policy-ghost

/distributed-training

/hh-develop-improve_tennis

/test-tf-ver

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/whitepaper-experiments

/r2v-yamato-linux

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/release_2_verified_load_fix

/test-sampler

/release_2_verified

/hh-develop-ragdoll-testing

/origin-develop-taggedobservations

/MLA-1734-demo-provider

/sampler-refactor-copy

/PhysXArticulations20201Package

/tag-com.unity.ml-agents_1.0.8

/release_3_branch

/github-actions

/release_3_distributed

/fix-batch-tennis

/distributed-ppo-sac

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/hw20-segmentation

/hh-develop-gamedev-demo

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/release_4_branch

/fix-env-step-loop

/release_5_branch

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/hh-develop-max-steps-demo-recorder

/hh-develop-loco-walker-variable-speed

/exp-0002

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/hh-develop-hallway-wall-mesh-fix

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/hh-develop-fps_game_project

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/sequencer-env-attention

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/release_13_branch

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/exp-clipped-gaussian-entropy

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/check-for-ModelOverriders

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/soccer-fives/multiagent

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/develop/add-fire/exp

/develop/add-fire/jit

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/develop/add-fire/ckpt-2

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/develop/add-fire/export-discrete

/develop/add-fire/test-simple-rl-fix-resnet

/develop/add-fire/remove-currdoc

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/develop/add-fire/changelog

/develop/add-fire/mm2

/develop/model-transfer/add-physics

/develop/model-transfer/train

/develop/jit/experiments

/exp-vince/sep30-2020

/hh-develop-gridsensor-tests/static

/develop/hybrid-actions/distlist

/develop/bullet-hell/buffer

/goal-conditioning/new

/goal-conditioning/sensors-2

/goal-conditioning/sensors-3-pytest-fix

/goal-conditioning/grid-world

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/ai-hw-2021/tensor-applier

0.1.1

0.1.2

0.10.0

0.10.1

0.11.0

0.11.0.dev0

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0.7.0

0.8.0

0.8.1

0.8.2

0.9.0

0.9.1

0.9.2

0.9.3

com.unity.ml-agents_1.0.0

com.unity.ml-agents_1.0.2

com.unity.ml-agents_1.0.3

com.unity.ml-agents_1.0.4

com.unity.ml-agents_1.0.5

com.unity.ml-agents_1.0.6

com.unity.ml-agents_1.0.7

com.unity.ml-agents_1.0.8

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com.unity.ml-agents_1.5.0

com.unity.ml-agents_1.6.0

com.unity.ml-agents_1.7.0

com.unity.ml-agents_1.7.2

com.unity.ml-agents_1.8.0

com.unity.ml-agents_1.8.1

com.unity.ml-agents_1.9.0

com.unity.ml-agents_1.9.1

com.unity.ml-agents_2.0.0

com.unity.ml-agents_2.1.0

latest_release

python-packages_0.16.0

python-packages_0.16.1

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release_1

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v0.1

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ml-agents/UnitySDK/Assets/ML-Agents/Plugins/Barracuda.Core/Barracuda/Resources

文件历史

Ervin T 9ea7fea8 Use Barracuda tensors and Barracuda 0.2.4 (#2308) Bringing bucket of temp memory allocation optimizations: * switched to Barracuda backed tensor across the board, helps to leverage allocators and reuse of the internal buffers * added Barracuda 0.2.4 release, which bring another set of temp memory allocation fixes		5 年前
..
Activation.compute	First stage of ML Agents update to Barracuda 0.2.x	6 年前
Activation.compute.meta	Barracuda integration into ML-Agents (#1557)	6 年前
BarracudaReferenceImpl.compute	Upgraded to Barracuda 0.2.1, fixes issues with discrete action models	6 年前
BarracudaReferenceImpl.compute.meta	Barracuda integration into ML-Agents (#1557)	6 年前
Broadcast.compute	First stage of ML Agents update to Barracuda 0.2.x	6 年前
Broadcast.compute.meta	Barracuda integration into ML-Agents (#1557)	6 年前
Conv.compute	Use Barracuda tensors and Barracuda 0.2.4 (#2308)	5 年前
Conv.compute.meta	Barracuda integration into ML-Agents (#1557)	6 年前
ConvOld.compute	First stage of ML Agents update to Barracuda 0.2.x	6 年前
ConvOld.compute.meta	Barracuda integration into ML-Agents (#1557)	6 年前
Dense.compute	Use Barracuda tensors and Barracuda 0.2.4 (#2308)	5 年前
Dense.compute.meta	Barracuda integration into ML-Agents (#1557)	6 年前
DenseFP16.compute	First stage of ML Agents update to Barracuda 0.2.x	6 年前
DenseFP16.compute.meta	Barracuda integration into ML-Agents (#1557)	6 年前
Experimental.compute	First stage of ML Agents update to Barracuda 0.2.x	6 年前
Experimental.compute.meta	Barracuda integration into ML-Agents (#1557)	6 年前
FastNV.compute	First stage of ML Agents update to Barracuda 0.2.x	6 年前
FastNV.compute.meta	Barracuda integration into ML-Agents (#1557)	6 年前
Generic.compute	Use Barracuda tensors and Barracuda 0.2.4 (#2308)	5 年前
Generic.compute.meta	Barracuda integration into ML-Agents (#1557)	6 年前
Random.cginc	First stage of ML Agents update to Barracuda 0.2.x	6 年前
Random.cginc.meta	Barracuda integration into ML-Agents (#1557)	6 年前
Tensor.cginc	First stage of ML Agents update to Barracuda 0.2.x	6 年前
Tensor.cginc.meta	Barracuda integration into ML-Agents (#1557)	6 年前
TexConv.compute	First stage of ML Agents update to Barracuda 0.2.x	6 年前
TexConv.compute.meta	Barracuda integration into ML-Agents (#1557)	6 年前