Awesome Real World RlGreat resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.
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vnlaCode accompanying the CVPR 2019 paper: https://arxiv.org/abs/1812.04155
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CoDAILImplementation of CoDAIL in the ICLR 2021 paper <Multi-Agent Interactions Modeling with Correlated Policies>
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Mutual labels: imitation-learning
Awesome Carla 👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla
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Mutual labels: imitation-learning
end2end-self-driving-carEnd-to-end Self-driving Car (Behavioral Cloning)
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drilDisagreement-Regularized Imitation Learning
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data aggregationThis repository contains the code for the CVPR 2020 paper "Exploring Data Aggregation in Policy Learning for Vision-based Urban Autonomous Driving"
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haxball-chameleonSolving Haxball (www.haxball.com) using Imitation Learning methods.
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Coordinated-Multi-Agent-Imitation-LearningThis is an implementation of the paper "Coordinated Multi Agent Imitation Learning", or the Sloan version "Data-Driven Ghosting using Deep Imitation Learning" using Tensorflow
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MilCode for "One-Shot Visual Imitation Learning via Meta-Learning"
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rpgRanking Policy Gradient
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Mutual labels: imitation-learning
ComycoThe implementation of "Comyco: Quality-Aware Adaptive Video Streaming via Imitation Learning" (ACM MM 2019)
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Mutual labels: imitation-learning
TianshouAn elegant PyTorch deep reinforcement learning library.
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Mutual labels: imitation-learning
robInfLib-matlabKernelized Movement Primitives (KMP)
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ImitationClean PyTorch implementations of imitation learning algorithms
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Mutual labels: imitation-learning
imitation learningPyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
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Mutual labels: imitation-learning
Reinforce-Paraphrase-GenerationThis repository contains the data and code for the paper "An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation" (EMNLP2019).
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magicalThe MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)
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