277 Open source projects that are alternatives of or similar to Reinforcement Learning Kr

Logarithmic Reinforcement Learning

Reinforcement learning for an air traffic control task. OpenAI gym based simulation.

Convert DeepMind Control Suite to OpenAI gym environments.

A PyTorch implementation of Human-Level Control through Deep Reinforcement Learning

OpenAI's Gym binding for Julia

A pytorch tutorial for DRL(Deep Reinforcement Learning)

A set of RL experiments. Currently including: (1) the MDP rank experiment, based on policy gradient algorithm

Package provides java implementation of reinforcement learning algorithms such Q-Learn, R-Learn, SARSA, Actor-Critic

PySC2 OpenAI Gym Environments

Deep Reinforcement Learning Algorithms Implementation in PyTorch

Lightweight deep RL Libraray for continuous control.

Cloud-native Financial Reinforcement Learning

Deep Developmental Reinforcement Learning

Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.

Modelica models integration with Open AI Gym

NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.

An OpenAI Gym interface to Tetris on the NES.

RLgraph: Modular computation graphs for deep reinforcement learning

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

[DeepRL Workshop, NeurIPS-21] Recurrent Off-policy Baselines for Memory-based Continuous Control (RDPG, RTD3 and RSAC)

Tensorflow implementation of A3C algorithm

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

Live Trading. Please star.

Trust Region Policy Optimization (TRPO) in pure TensorFlow

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

Gym environments and agents for autonomous driving.

Solving POMDP using Recurrent networks

Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym

大数据+人工智能+数据结构相关案例项目

Training a Neural Network to play Pong from pixels

OpenAI Gym wrapper for ViZDoom enviroments

A simple, continuous-control environment for OpenAI Gym

No description or website provided.

Inverse Reinforcement Learning Argorithms

FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

Collection of OpenAI parametrized action-space environments.

A platform to test reinforcement learning policies in the datacenter setting.

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

An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.

Using reinforcement learning to train FlappyBird.

This project solves self-made maze in a variety of ways: A-star, Q-learning and Deep Q-network.

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

An R package providing access to the OpenAI Gym API

A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)

Deep Q Network implements by Tensorflow

Repository containing Robot Servers ROS packages

Super Mario Reinforcement Learning from Demonstration

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

Seamless, distributed, real-time integration of Blender into PyTorch data pipelines

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.

A TensorFlow-based framework for learning about and experimenting with reinforcement learning algorithms

TD-Regularized Actor-Critic Methods

A Universal Deep Reinforcement Learning Framework

Reinforcement Learning for Super Mario Bros using A3C on GPU

JAX implementations of core Deep RL algorithms

OpenAI's Gym written in pure Rust for blazingly fast performance

Ranking Policy Gradient

Differential Dynamic Programming controller operating in OpenAI Gym environment.

HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

A.I. plays the original 1980 Pacman using Neuroevolution of Augmenting Topologies and Deep Q Learning