462 Open source projects that are alternatives of or similar to reinforcement-learning-papers

(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.

DEEp Reinforcement learning framework

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

Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)

Guided Image-to-Image Translation Papers

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..

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

Zotero compatiblity scripts for papis

Hierarchical Object Detection with Deep Reinforcement Learning

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）。

Python implementations of some of the fundamental Machine Learning models and algorithms from scratch.

Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020).

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

playing idealized trading games with deep reinforcement learning

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

A Real-Time-Strategy game for Deep Learning research

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

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

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

Summary of machine learning papers

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

Actor-critic with experience replay

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

PyTorch implementation of Trust Region Policy Optimization

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.

PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, SAC-AEA)

With underflow, create trafic light clusters that interact together to regulate circulation

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

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。

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

Awesome list for cryptographic secure computation paper. This repo includes *Lattice*, *DifferentialPrivacy*, *MPC* and also a comprehensive summary for top conferences.

DrQ: Data regularized Q

Summaries of machine learning papers

Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"

Reinforcement Learning for Super Mario Bros using A3C on GPU

Rainbow: Combining Improvements in Deep Reinforcement Learning

Deep Planning Network: Control from pixels by latent planning with learned dynamics

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.

Live Trading. Please star.

Python (pytorch) code for Lu, Q., Hasson U. & Norman K. A. (2021). When to retrieve and encode episodic memories: a neural network model of hippocampal-cortical interaction.

A reinforcement learning package for Julia

an implementation of CommNet

Summarizing the papers I have read (Japanese)

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

Introduction to Deep Reinforcement Learning

Examples

List of Data Science and Machine Learning Resource that I frequently use

Deep Reinforcement Learning applied to a modern 3D video-game environment called Delivery Duel.

Official implementation of the paper "Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning Algorithms": https://arxiv.org/abs/1909.01779 To appear at the next NeurIPS2019 DRL-Workshop

Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"

JAX implementations of core Deep RL algorithms