55 Open source projects that are alternatives of or similar to rlberry

The Verifiably Safe Reinforcement Learning Framework

Deep Reinforcement Learning Pong Agent, King Pong, he's the best

Combining deep learning and reinforcement learning.

Reinforcement learning algorithms

Modeling agents with probabilistic programs

An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.

A toolbox with the goal of speeding up research on bargaining in MARL (cooperation problems in MARL).

Repo for the Deep Reinforcement Learning Nanodegree program

A curated list of awesome reinforcement courses, video lectures, books, library and many more.

Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)

Implementing a RL algorithm based upon a partially observable Markov decision process.

Scalable Implementation of Neural Fictitous Self-Play

A model car learns driving along a track using reinforcement learning

Solving POMDP using Recurrent networks

xingtian is a componentized library for the development and verification of reinforcement learning algorithms

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.

A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments

Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3

NMA deep learning course

Solve BipedalWalkerHardcore-v2 with TD3

Python implementation of POMDP framework and PBVI & POMCP algorithms.

Solving board games like Connect4 using Deep Reinforcement Learning

Reinforcement Learning in Vrep

Pytorch Implementation of RL algorithms

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

Comparison of bandit algorithms from the Reinforcement Learning bible.

L2RPN Baselines a repository to host baselines for l2rpn competitions.

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

Learning Continuous Control in Deep Reinforcement Learning

A Universal Deep Reinforcement Learning Framework

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

Reinforcement Learning algorithm's using google-colab

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies

[IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library

Check out the new game server:

sharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinforcement learning) in the context of quantitative trading

Collection of OpenAI parametrized action-space environments.

AI4U is a multi-engine plugin (Unity and Godot) that allows you to specify agents with reinforcement learning visually. Non-Player Characters (NPCs) of games can be designed using ready-made components. In addition, AI4U has a low-level API that allows you to connect the agent to any algorithm made available in Python by the reinforcement learni…

Train reinforcement learning agent using ML-Agents with Google Colab.

用深度强化学习玩合成大西瓜

Simulator for Reinforcement Learning and AI. 2D environments with physics and interactive entities. Agents with rich sensors and actuators.

The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)

Modelica models integration with Open AI Gym

Gym environments and agents for autonomous driving.

Simultaneous Navigation and Construction

A simple, continuous-control environment for OpenAI Gym

Robotic simulation in Unity with ROS integration.

No description or website provided.

Repository containing Robot Servers ROS packages

A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

RealAnt robot platform for low-cost, real-world reinforcement learning