621 Open source projects that are alternatives of or similar to Deep-rl-mxnet

RLgraph: Modular computation graphs for deep reinforcement learning

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

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Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

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Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

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Implementations of Reinforcement Learning Models in Tensorflow

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

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playing idealized trading games with deep reinforcement learning

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PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

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Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

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Minimal implementations of reinforcement learning algorithms by Tensorflow

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

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Live Trading. Please star.

JAX implementations of core Deep RL algorithms

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

A Universal Deep Reinforcement Learning Framework

A course on Deep Reinforcement Learning in Computer Vision. Visit Website:

Deep Reinforcement Learning with pytorch & visdom

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

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BiLSTM_CRF中文实体命名识别

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Deep reinforcement learning with tensorflow2

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

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We provide GPU-enabled docker images including Keras, TensorFlow, CNTK, MXNET and Theano.

Booklet and exam of Artificial Intelligence Master Degree at Amirkabir University of technology.

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