403 Open source projects that are alternatives of or similar to LWDRLC

Simple Reinforcement Learning Framework

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

RAD: Reinforcement Learning with Augmented Data

A pytorch tutorial for DRL(Deep Reinforcement Learning)

RLgraph: Modular computation graphs for deep reinforcement learning

Ape-X DQN & DDPG with pytorch & tensorboard

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

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

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

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..

Python library for Reinforcement Learning.

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

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

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

End to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo

DEEp Reinforcement learning framework

🤖 Implements of Reinforcement Learning algorithms.

Highly Modular and Scalable Reinforcement Learning

Combining deep learning and reinforcement learning.

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Using PyTorch and DDPG to play Torcs

(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning

Ramudroid, autonomous solar-powered robot to clean roads, realtime object detection and webrtc based streaming

Accelerating Quadratic Optimization with Reinforcement Learning

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

No description or website provided.

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.

Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers

Remove watermark automatically(Just can use for fixed position watermark till now). 自动水印消除算法的实现（目前只支持固定水印位置）。

A Universal Deep Reinforcement Learning Framework

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign

Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning

Reinforcement Learning for Super Mario Bros using A3C on GPU

playing idealized trading games with deep reinforcement learning

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Code for NIPS 2017 learning to run challenge

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Eagerly Experimentable!!!

Using self-play, MCTS, and a deep neural network to create a hearthstone ai player

Trading Environment(OpenAI Gym) + DDQN (Keras-RL)

Actor-critic with experience replay

Research into controllers for 2d and 3d Active Ragdolls (using MujocoUnity+ml_agents)

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

No description or website provided.

Ranking Policy Gradient

文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。

Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"

Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018

Summaries of machine learning papers

Usage of policy gradient reinforcement learning to solve portfolio optimization problems (Tactical Asset Allocation).

A curated list of resources about Machine Learning for Robotics

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym