deep-reinforcement-learning
There are 2807 repositories under deep-reinforcement-learning topic.
Top-Deep-Learning
Top 200 deep learning Github repositories sorted by the number of stars.
DRL-Pytorch
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
snake
Artificial intelligence for the Snake game.
Rainbow
Rainbow: Combining Improvements in Deep Reinforcement Learning
deep-rl-tensorflow
TensorFlow implementation of Deep Reinforcement Learning papers
awesome-deep-trading
List of awesome resources for machine learning-based algorithmic trading
MARL-Algorithms
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
awesome-deep-rl
For deep RL and the future of AI.
noreward-rl
[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
d3rlpy
An offline deep reinforcement learning library
FinRL-Meta
FinRL-Meta: Dynamic datasets and market environments for FinRL.
deep-q-learning
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
SLM-Lab
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
pytorch-a3c
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
DI-star
An artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.
softlearning
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
PyTorch-RL
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
hands-on-rl
Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽
DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
PyGame-Learning-Environment
PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
btgym
Scalable, event-driven, deep-learning-friendly backtesting library
MARLlib
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
omnisafe
JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.
visual-pushing-grasping
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.
rl-book
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
deepdrive
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
osim-rl
Reinforcement learning environments with musculoskeletal models
awesome-diffusion-model-in-rl
A curated list of Diffusion Model in RL resources (continually updated)
GibsonEnv
Gibson Environments: Real-World Perception for Embodied Agents
crypto-rl
Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
Hands-On-Reinforcement-Learning-With-Python
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
pytorch-soft-actor-critic
PyTorch implementation of soft actor critic
gdrl
Grokking Deep Reinforcement Learning
gym-gazebo
Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version
mushroom-rl
Python library for Reinforcement Learning.
pytorch-rl
Deep Reinforcement Learning with pytorch & visdom