All Projects → A3C-Crypto-Trader → Similar Projects or Alternatives

47 Open source projects that are alternatives of or similar to A3C-Crypto-Trader

Reinforcement Learning
Minimal and Clean Reinforcement Learning Examples
Stars: ✭ 2,863 (+8320.59%)
Mutual labels:  a3c
A3c continuous
A continuous action space version of A3C LSTM in pytorch plus A3G design
Stars: ✭ 223 (+555.88%)
Mutual labels:  a3c
Rlcycle
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
Stars: ✭ 184 (+441.18%)
Mutual labels:  a3c
Tensorflow Rl
Implementations of deep RL papers and random experimentation
Stars: ✭ 176 (+417.65%)
Mutual labels:  a3c
Minimalrl
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Stars: ✭ 2,051 (+5932.35%)
Mutual labels:  a3c
Machin
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Stars: ✭ 145 (+326.47%)
Mutual labels:  a3c
Baby A3c
A high-performance Atari A3C agent in 180 lines of PyTorch
Stars: ✭ 144 (+323.53%)
Mutual labels:  a3c
Reinforcementlearning Atarigame
Pytorch 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 (+247.06%)
Mutual labels:  a3c
A3c Pytorch
PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch
Stars: ✭ 108 (+217.65%)
Mutual labels:  a3c
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 (+8735.29%)
Mutual labels:  a3c
Deep Reinforcement Learning With Pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Stars: ✭ 1,345 (+3855.88%)
Mutual labels:  a3c
Reinforcement learning
Reinforcement learning tutorials
Stars: ✭ 82 (+141.18%)
Mutual labels:  a3c
Torch Ac
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Stars: ✭ 70 (+105.88%)
Mutual labels:  a3c
Policy Gradient Methods
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
Stars: ✭ 54 (+58.82%)
Mutual labels:  a3c
Pytorch A3c
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Stars: ✭ 879 (+2485.29%)
Mutual labels:  a3c
A3c
MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"
Stars: ✭ 9 (-73.53%)
Mutual labels:  a3c
Slm Lab
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Stars: ✭ 904 (+2558.82%)
Mutual labels:  a3c
Bombora
My experimentations with Reinforcement Learning in Pytorch
Stars: ✭ 18 (-47.06%)
Mutual labels:  a3c
Tensorlayer
Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
Stars: ✭ 6,796 (+19888.24%)
Mutual labels:  a3c
Super Mario Bros A3c Pytorch
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
Stars: ✭ 775 (+2179.41%)
Mutual labels:  a3c
Btgym
Scalable, event-driven, deep-learning-friendly backtesting library
Stars: ✭ 765 (+2150%)
Mutual labels:  a3c
Reinforcement Learning With Tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Stars: ✭ 6,948 (+20335.29%)
Mutual labels:  a3c
Pytorch Rl
Deep Reinforcement Learning with pytorch & visdom
Stars: ✭ 745 (+2091.18%)
Mutual labels:  a3c
Async deep reinforce
Asynchronous Methods for Deep Reinforcement Learning
Stars: ✭ 565 (+1561.76%)
Mutual labels:  a3c
Rl a3c pytorch
A3C LSTM Atari with Pytorch plus A3G design
Stars: ✭ 482 (+1317.65%)
Mutual labels:  a3c
Reinforcement learning tutorial with demo
Reinforcement 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 (+1200%)
Mutual labels:  a3c
Deep Rl Keras
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Stars: ✭ 395 (+1061.76%)
Mutual labels:  a3c
Pytorch A3c
Simple A3C implementation with pytorch + multiprocessing
Stars: ✭ 364 (+970.59%)
Mutual labels:  a3c
Ai Blog
Accompanying repository for Let's make a DQN / A3C series.
Stars: ✭ 351 (+932.35%)
Mutual labels:  a3c
Rl4j
Deep Reinforcement Learning for the JVM (Deep-Q, A3C)
Stars: ✭ 330 (+870.59%)
Mutual labels:  a3c
Rl Starter Files
RL starter files in order to immediatly train, visualize and evaluate an agent without writing any line of code
Stars: ✭ 325 (+855.88%)
Mutual labels:  a3c
Deeprl Tensorflow2
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Stars: ✭ 319 (+838.24%)
Mutual labels:  a3c
Pysc2 Agents
This is a simple implementation of DeepMind's PySC2 RL agents.
Stars: ✭ 262 (+670.59%)
Mutual labels:  a3c
pysc2-rl-agents
StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)
Stars: ✭ 124 (+264.71%)
Mutual labels:  a3c
Deep-Reinforcement-Learning-Notebooks
This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.
Stars: ✭ 15 (-55.88%)
Mutual labels:  a3c
a3c
PyTorch implementation of "Asynchronous advantage actor-critic"
Stars: ✭ 21 (-38.24%)
Mutual labels:  a3c
tf-a3c-gpu
Tensorflow implementation of A3C algorithm
Stars: ✭ 49 (+44.12%)
Mutual labels:  a3c
rl-bigwatermelon
用深度强化学习玩合成大西瓜
Stars: ✭ 22 (-35.29%)
Mutual labels:  a3c
Master-Thesis
Deep 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 (-2.94%)
Mutual labels:  a3c
pytorch-noreward-rl
pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction
Stars: ✭ 79 (+132.35%)
Mutual labels:  a3c
cups-rl
Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"
Stars: ✭ 38 (+11.76%)
Mutual labels:  a3c
Street-fighter-A3C-ICM-pytorch
Curiosity-driven Exploration by Self-supervised Prediction for Street Fighter III Third Strike
Stars: ✭ 149 (+338.24%)
Mutual labels:  a3c
deep rl acrobot
TensorFlow A2C to solve Acrobot, with synchronized parallel environments
Stars: ✭ 32 (-5.88%)
Mutual labels:  a3c
a3c-super-mario-pytorch
Reinforcement Learning for Super Mario Bros using A3C on GPU
Stars: ✭ 35 (+2.94%)
Mutual labels:  a3c
Deep-Reinforcement-Learning-With-Python
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
Stars: ✭ 222 (+552.94%)
Mutual labels:  a3c
reinforcement learning with Tensorflow
Minimal implementations of reinforcement learning algorithms by Tensorflow
Stars: ✭ 28 (-17.65%)
Mutual labels:  a3c
yarll
Combining deep learning and reinforcement learning.
Stars: ✭ 84 (+147.06%)
Mutual labels:  a3c
1-47 of 47 similar projects