Summary loopCodebase for the Summary Loop paper at ACL2020
Stars: ✭ 26 (-87.85%)
PomdpyPOMDPs in Python.
Stars: ✭ 183 (-14.49%)
ChainerrlChainerRL is a deep reinforcement learning library built on top of Chainer.
Stars: ✭ 931 (+335.05%)
Tensorflow rlreReinforcement Learning for Relation Classification from Noisy Data(TensorFlow)
Stars: ✭ 150 (-29.91%)
CiffCornell Instruction Following Framework
Stars: ✭ 23 (-89.25%)
TorchrlHighly Modular and Scalable Reinforcement Learning
Stars: ✭ 102 (-52.34%)
Paac.pytorchPytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862
Stars: ✭ 22 (-89.72%)
Slm LabModular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Stars: ✭ 904 (+322.43%)
ReimprovejsA framework using TensorFlow.js for Deep Reinforcement Learning
Stars: ✭ 101 (-52.8%)
BomboraMy experimentations with Reinforcement Learning in Pytorch
Stars: ✭ 18 (-91.59%)
TextworldTextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
Stars: ✭ 895 (+318.22%)
Samsung Drl CodeRepository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung
Stars: ✭ 99 (-53.74%)
Basic reinforcement learningAn introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Stars: ✭ 826 (+285.98%)
PrompProMP: Proximal Meta-Policy Search
Stars: ✭ 181 (-15.42%)
Deeprec推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
Stars: ✭ 822 (+284.11%)
OpenaigymSolving OpenAI Gym problems.
Stars: ✭ 98 (-54.21%)
Chatbot cn基于金融-司法领域(兼有闲聊性质)的聊天机器人,其中的主要模块有信息抽取、NLU、NLG、知识图谱等,并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口
Stars: ✭ 791 (+269.63%)
Open QuadrupedAn open-source 3D-printed quadrupedal robot. Intuitive gait generation through 12-DOF Bezier Curves. Full 6-axis body pose manipulation. Custom 3DOF Leg Inverse Kinematics Model accounting for offsets.
Stars: ✭ 148 (-30.84%)
CourseraQuiz & Assignment of Coursera
Stars: ✭ 774 (+261.68%)
Papers Literature Ml Dl Rl AiHighly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Stars: ✭ 1,341 (+526.64%)
NotesResources to learn more about Machine Learning and Artificial Intelligence
Stars: ✭ 766 (+257.94%)
ReleaseDeep Reinforcement Learning for de-novo Drug Design
Stars: ✭ 201 (-6.07%)
Osim RlReinforcement learning environments with musculoskeletal models
Stars: ✭ 763 (+256.54%)
RainbowA PyTorch implementation of Rainbow DQN agent
Stars: ✭ 147 (-31.31%)
Ngsim envLearning human driver models from NGSIM data with imitation learning.
Stars: ✭ 96 (-55.14%)
Andrew Ng NotesThis is Andrew NG Coursera Handwritten Notes.
Stars: ✭ 180 (-15.89%)
Starcraft AiReinforcement Learning and Transfer Learning based StarCraft Micromanagement
Stars: ✭ 95 (-55.61%)
Show Adapt And TellCode for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017
Stars: ✭ 146 (-31.78%)
SoftlearningSoftlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
Stars: ✭ 713 (+233.18%)
RlenvsReinforcement learning environments for Torch7
Stars: ✭ 94 (-56.07%)
Rlseq2seqDeep Reinforcement Learning For Sequence to Sequence Models
Stars: ✭ 683 (+219.16%)
GibsonenvGibson Environments: Real-World Perception for Embodied Agents
Stars: ✭ 666 (+211.21%)
Pytorch sac aePyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
Stars: ✭ 94 (-56.07%)
Dl Nlp ReadingsMy Reading Lists of Deep Learning and Natural Language Processing
Stars: ✭ 656 (+206.54%)
Tensor2tensorLibrary of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Stars: ✭ 11,865 (+5444.39%)
NeuraldialogpapersSummary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)
Stars: ✭ 641 (+199.53%)
Gym AnytradingThe most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
Stars: ✭ 627 (+192.99%)
Gail TfTensorflow implementation of generative adversarial imitation learning
Stars: ✭ 179 (-16.36%)
AutodromeFramework and OpenAI Gym Environment for Autonomous Vehicle Development
Stars: ✭ 214 (+0%)
Reco PapersClassic papers and resources on recommendation
Stars: ✭ 2,804 (+1210.28%)
GymfcA universal flight control tuning framework
Stars: ✭ 210 (-1.87%)
MultihopkgMulti-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout
Stars: ✭ 202 (-5.61%)
Naf Tensorflow"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow
Stars: ✭ 192 (-10.28%)
Rl Baselines3 ZooA collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.
Stars: ✭ 161 (-24.77%)
Pytorch RlTutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
Stars: ✭ 121 (-43.46%)
DherDHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)
Stars: ✭ 48 (-77.57%)