Ns3 Gymns3-gym - The Playground for Reinforcement Learning in Networking Research
Stars: ✭ 221 (-48%)
IcnnInput Convex Neural Networks
Stars: ✭ 214 (-49.65%)
PokerrlFramework for Multi-Agent Deep Reinforcement Learning in Poker
Stars: ✭ 214 (-49.65%)
MaRLEnEMachine- and Reinforcement Learning ExtensioN for (game) Engines
Stars: ✭ 47 (-88.94%)
Dreamerv2Mastering Atari with Discrete World Models
Stars: ✭ 287 (-32.47%)
PaacOpen source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning
Stars: ✭ 196 (-53.88%)
pytorch-hdqnHierarchical-DQN in pytorch (not actively maintained)
Stars: ✭ 36 (-91.53%)
Dm controlDeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Stars: ✭ 2,592 (+509.88%)
rl-medicalCommunicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.
Stars: ✭ 36 (-91.53%)
EpgCode for the paper "Evolved Policy Gradients"
Stars: ✭ 204 (-52%)
robustnavEvaluating pre-trained navigation agents under corruptions
Stars: ✭ 18 (-95.76%)
Reinforcement Learning CourseCurso de Aprendizaje por Refuerzo, de 0 a 100 con notebooks y slides muy sencillas para entenderlo todo perfectamente.
Stars: ✭ 18 (-95.76%)
KbganCode for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071
Stars: ✭ 186 (-56.24%)
Alpha Zero GeneralA clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
Stars: ✭ 2,617 (+515.76%)
dqn-tensorflowDeep Q Network implements by Tensorflow
Stars: ✭ 25 (-94.12%)
ReleaseDeep Reinforcement Learning for de-novo Drug Design
Stars: ✭ 201 (-52.71%)
DinoruntutorialAccompanying code for Paperspace tutorial "Build an AI to play Dino Run"
Stars: ✭ 285 (-32.94%)
Deep-Quality-Value-FamilyOfficial implementation of the paper "Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning Algorithms": https://arxiv.org/abs/1909.01779 To appear at the next NeurIPS2019 DRL-Workshop
Stars: ✭ 12 (-97.18%)
Ml From ScratchPython implementations of some of the fundamental Machine Learning models and algorithms from scratch.
Stars: ✭ 20,624 (+4752.71%)
Deep-Reinforcement-Learning-CS285-PytorchSolutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework
Stars: ✭ 104 (-75.53%)
Crypto traderQ-Learning Based Cryptocurrency Trader and Portfolio Optimizer for the Poloniex Exchange
Stars: ✭ 184 (-56.71%)
Pytorch DqnDeep Q-Learning Network in pytorch (not actively maintained)
Stars: ✭ 282 (-33.65%)
AlphaNPIAdapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
Stars: ✭ 71 (-83.29%)
Awesome Game AiAwesome Game AI materials of Multi-Agent Reinforcement Learning
Stars: ✭ 185 (-56.47%)
Reinforcement LearningDeep Reinforcement Learning Algorithms implemented with Tensorflow 2.3
Stars: ✭ 61 (-85.65%)
Free Ai Resources🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
Stars: ✭ 192 (-54.82%)
Arxivtimesrepository to research & share the machine learning articles
Stars: ✭ 3,651 (+759.06%)
Gym SokobanSokoban environment for OpenAI Gym
Stars: ✭ 186 (-56.24%)
PomdpyPOMDPs in Python.
Stars: ✭ 183 (-56.94%)
Deeprl AgentsA set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Stars: ✭ 2,149 (+405.65%)
Tf RexPlay Google Chrome's T-rex game with TensorFlow
Stars: ✭ 345 (-18.82%)
PrompProMP: Proximal Meta-Policy Search
Stars: ✭ 181 (-57.41%)
Deep RlCollection of Deep Reinforcement Learning algorithms
Stars: ✭ 280 (-34.12%)
Detection 2016 NipswsHierarchical Object Detection with Deep Reinforcement Learning
Stars: ✭ 401 (-5.65%)
Andrew Ng NotesThis is Andrew NG Coursera Handwritten Notes.
Stars: ✭ 180 (-57.65%)
UnderflowWith underflow, create trafic light clusters that interact together to regulate circulation
Stars: ✭ 12 (-97.18%)
Simple rlA simple framework for experimenting with Reinforcement Learning in Python.
Stars: ✭ 179 (-57.88%)
Gail TfTensorflow implementation of generative adversarial imitation learning
Stars: ✭ 179 (-57.88%)
Trading BotStock Trading Bot using Deep Q-Learning
Stars: ✭ 273 (-35.76%)
semantic-guidanceCode for our CVPR-2021 paper on Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings.
Stars: ✭ 19 (-95.53%)
Reinforce.jlAbstractions, algorithms, and utilities for reinforcement learning in Julia
Stars: ✭ 178 (-58.12%)
racing dreamerLatent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing
Stars: ✭ 31 (-92.71%)
Deep AlgotradingA resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading
Stars: ✭ 173 (-59.29%)
Pomdps.jlMDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.
Stars: ✭ 338 (-20.47%)
Handful Of TrialsExperiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
Stars: ✭ 278 (-34.59%)
rtrlPyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)
Stars: ✭ 57 (-86.59%)
AdeptrlReinforcement learning framework to accelerate research
Stars: ✭ 173 (-59.29%)
AutoPentest-DRLAutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning
Stars: ✭ 196 (-53.88%)
SharpneatSharpNEAT - Evolution of Neural Networks. A C# .NET Framework.
Stars: ✭ 273 (-35.76%)