1022 Open source projects that are alternatives of or similar to Cs234 Reinforcement Learning Winter 2019

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

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

Live Trading. Please star.

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

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

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

Autonomous Drifting using Reinforcement Learning

Deep Reinforcement Learning Algorithms Implementation in PyTorch

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

Deep Developmental Reinforcement Learning

Notes and comments about Deep Reinforcement Learning papers

DrQ: Data regularized Q

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

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

PyTorch implementation of soft actor critic

Texas holdem OpenAi gym poker environment with reinforcement learning based on keras-rl. Includes virtual rendering and montecarlo for equity calculation.

Grokking Deep Reinforcement Learning

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

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

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

Collection of Deep Reinforcement Learning algorithms

TensorFlow2 Reinforcement Learning

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

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

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

Reinforcement Learning Algorithms

OpenAI Gym environments using DART

Open Machine Learning course at MIPT

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

Implementations of Reinforcement Learning Models in Tensorflow

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

Using deep reinforcement learning to tackle the game 2048.

A course in reinforcement learning in the wild

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

Gibson Environments: Real-World Perception for Embodied Agents

Minimalistic gridworld package for OpenAI Gym

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

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

TensorFlow and Deep Learning Tutorials

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

An OpenAI Gym Env for Panda

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

Implementation of the Deep Q-learning algorithm to solve MDPs

For deep RL and the future of AI.

Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley

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

playing idealized trading games with deep reinforcement learning

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)

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Gridworld environments for OpenAI gym.