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30 search results found

Scalable, event-driven, deep-learning-friendly backtesting library

Tensorflow Reinforce ⭐ 477

Implementations of Reinforcement Learning Models in Tensorflow

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

Openai_lab ⭐ 314

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

Text_summurization_abstractive_methods ⭐ 310

Multiple implementations for abstractive text summurization , using google colab

Seqgan Pytorch ⭐ 178

A implementation of SeqGAN in PyTorch, following the implementation in tensorflow.

Deep Algotrading ⭐ 145

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

Show Adapt And Tell ⭐ 142

Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017

Deeprl_algorithms ⭐ 112

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

Reinforcement_learning ⭐ 89

강화학습에 대한 기본적인 알고리즘 구현

Combining deep learning and reinforcement learning.

Rl Course Experiments ⭐ 73

Tensorflow Rl Pong ⭐ 49

Pong AI trained using policy gradient-based reinforcement learning

Photo Editing Tensorflow ⭐ 47

Photo Optimizing Adversarial Net with Policy Gradient Method

Deep_rl_acrobot ⭐ 30

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

Optimization_of_image_description_metrics_using_policy_gradient_methods ⭐ 29

Tensorflow implement of paper: Optimization of image description metrics using policy gradient methods

Policy Gradient Pong ⭐ 27

tensorflow implementation of Andrej Karpathy's blog about reinforcement learning. http://karpathy.github.io/2016/05/31/rl/

Practical_rl ⭐ 24

My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow

Deep Reinforcement Learning Cs285 Pytorch ⭐ 17

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

Seqgan Tensorflow ⭐ 15

SeqGAN implementation with Tensorflow

Emotional_dialogue ⭐ 15

A Deep Reinforcement Learning Approach (LSTM + policy gradient) to create a chatbot that produces coherent, emotional dialogue.

Simple and self-contained TensorFlow implementation of reinforcement learning algorithms for continuous control, integrated with OpenAI Gym and other physics engines.

Rl Botics ⭐ 10

Deep Reinforcement Learning Toolbox for Robotics using Keras and TensorFlow

Ddpg_numpy_only ⭐ 9

Implemenation of DDPG with numpy only (without Tensorflow)

Ppo Tensorflow 2.0 ⭐ 8

Proximal Policy Optimization with Tensorflow 2.0

Bipedalwalker V2 ⭐ 7

Solving openAI's game 'BipedalWalker-v2' with Deep Reinforcement Learning

Reinforcement Learning ⭐ 7

Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.

Neural Engineers First Attempt ⭐ 6

first attempt at description2code from 2016

Mountain Car Continuous ⭐ 6

Implementations of solutions to the continuous mountain car problem. Using OpenAI Gym and Tensorflow 1.1.

强化学习-游戏AI Trainning

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