Reinforcementlearning AtarigamePytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
Stars: ✭ 118 (-54.96%)
Torch AcRecurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Stars: ✭ 70 (-73.28%)
Policy Gradient MethodsImplementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
Stars: ✭ 54 (-79.39%)
Slm LabModular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Stars: ✭ 904 (+245.04%)
Rl a3c pytorchA3C LSTM Atari with Pytorch plus A3G design
Stars: ✭ 482 (+83.97%)
Rl4jDeep Reinforcement Learning for the JVM (Deep-Q, A3C)
Stars: ✭ 330 (+25.95%)
BomboraMy experimentations with Reinforcement Learning in Pytorch
Stars: ✭ 18 (-93.13%)
TensorlayerDeep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
Stars: ✭ 6,796 (+2493.89%)
Pytorch A3cPyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Stars: ✭ 879 (+235.5%)
MachinReinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Stars: ✭ 145 (-44.66%)
Tensorflow RlImplementations of deep RL papers and random experimentation
Stars: ✭ 176 (-32.82%)
BtgymScalable, event-driven, deep-learning-friendly backtesting library
Stars: ✭ 765 (+191.98%)
Easy Rl强化学习中文教程,在线阅读地址:https://datawhalechina.github.io/easy-rl/
Stars: ✭ 3,004 (+1046.56%)
Deep Rl KerasKeras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Stars: ✭ 395 (+50.76%)
Ai BlogAccompanying repository for Let's make a DQN / A3C series.
Stars: ✭ 351 (+33.97%)
Deeprl Tensorflow2🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Stars: ✭ 319 (+21.76%)
Reinforcement learning tutorial with demoReinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
Stars: ✭ 442 (+68.7%)
Pytorch RlDeep Reinforcement Learning with pytorch & visdom
Stars: ✭ 745 (+184.35%)
A3cMXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"
Stars: ✭ 9 (-96.56%)
MinimalrlImplementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Stars: ✭ 2,051 (+682.82%)
RlcycleA library for ready-made reinforcement learning agents and reusable components for neat prototyping
Stars: ✭ 184 (-29.77%)
RoboleagueA car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
Stars: ✭ 236 (-9.92%)
SupergoA student implementation of Alpha Go Zero
Stars: ✭ 236 (-9.92%)
tf-a3c-gpuTensorflow implementation of A3C algorithm
Stars: ✭ 49 (-81.3%)
Aleph starReinforcement learning with A* and a deep heuristic
Stars: ✭ 235 (-10.31%)
Rl learn我的强化学习笔记和学习材料📖 still updating ... ...
Stars: ✭ 234 (-10.69%)
yarllCombining deep learning and reinforcement learning.
Stars: ✭ 84 (-67.94%)
Awesome Real World RlGreat resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.
Stars: ✭ 234 (-10.69%)
Pytorch DrlPyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Stars: ✭ 233 (-11.07%)
Crowdnav[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
Stars: ✭ 255 (-2.67%)
A3C-Crypto-TraderDeep Reinforcement Learning A3C Crypto Trading Bot
Stars: ✭ 34 (-87.02%)
Machine Learning Uiuc🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
Stars: ✭ 233 (-11.07%)
Nn🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Stars: ✭ 5,720 (+2083.21%)
RayAn open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Stars: ✭ 18,547 (+6979.01%)
Rl AgentsImplementations of Reinforcement Learning and Planning algorithms
Stars: ✭ 232 (-11.45%)
Data Science FreeFree Resources For Data Science created by Shubham Kumar
Stars: ✭ 232 (-11.45%)
Master-ThesisDeep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex
Stars: ✭ 33 (-87.4%)
Pytorch Ddpg NafImplementation of algorithms for continuous control (DDPG and NAF).
Stars: ✭ 254 (-3.05%)
Deep Rl Tradingplaying idealized trading games with deep reinforcement learning
Stars: ✭ 228 (-12.98%)
Applied Reinforcement LearningReinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
Stars: ✭ 229 (-12.6%)
Grid royaleA life simulation for exploring social dynamics
Stars: ✭ 252 (-3.82%)
EvostraA fast Evolution Strategy implementation in Python
Stars: ✭ 227 (-13.36%)
GamA PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Stars: ✭ 227 (-13.36%)
PolyaxonMachine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)
Stars: ✭ 2,966 (+1032.06%)
pysc2-rl-agentsStarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)
Stars: ✭ 124 (-52.67%)
pytorch-noreward-rlpytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction
Stars: ✭ 79 (-69.85%)
Awesome TensorlayerA curated list of dedicated resources and applications
Stars: ✭ 248 (-5.34%)
Deeprl GroundingTrain an RL agent to execute natural language instructions in a 3D Environment (PyTorch)
Stars: ✭ 226 (-13.74%)
Ma GymA collection of multi agent environments based on OpenAI gym.
Stars: ✭ 226 (-13.74%)
CatalystAccelerated deep learning R&D
Stars: ✭ 2,804 (+970.23%)
Ddpg AigymContinuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments
Stars: ✭ 225 (-14.12%)