RlgraphRLgraph: Modular computation graphs for deep reinforcement learning
Stars: ✭ 272 (+1500%)
DrqDrQ: Data regularized Q
Stars: ✭ 268 (+1476.47%)
RadRAD: Reinforcement Learning with Augmented Data
Stars: ✭ 268 (+1476.47%)
AtariPersistent advantage learning dueling double DQN for the Arcade Learning Environment
Stars: ✭ 261 (+1435.29%)
Gym Gazebo2gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo
Stars: ✭ 257 (+1411.76%)
PlanetDeep Planning Network: Control from pixels by latent planning with learned dynamics
Stars: ✭ 257 (+1411.76%)
pysc2-rl-agentsStarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)
Stars: ✭ 124 (+629.41%)
RCNN MDPCode base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.
Stars: ✭ 65 (+282.35%)
Meta-SACAuto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020
Stars: ✭ 19 (+11.76%)
learn-hippoPython (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.
Stars: ✭ 12 (-29.41%)
SARNetCode repository for SARNet: Learning Multi-Agent Communication through Structured Attentive Reasoning (NeurIPS 2020)
Stars: ✭ 14 (-17.65%)
CommNetan implementation of CommNet
Stars: ✭ 23 (+35.29%)
Deep-Reinforcement-Learning-NotebooksThis 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.
Stars: ✭ 15 (-11.76%)
reinforce-js[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.
Stars: ✭ 20 (+17.65%)
pytorchrlDeep Reinforcement Learning algorithms implemented in PyTorch
Stars: ✭ 47 (+176.47%)
l2rOpen-source reinforcement learning environment for autonomous racing.
Stars: ✭ 38 (+123.53%)
FinRLFinRL: The first open-source project for financial reinforcement learning. Please star. 🔥
Stars: ✭ 3,497 (+20470.59%)
rlflowA TensorFlow-based framework for learning about and experimenting with reinforcement learning algorithms
Stars: ✭ 20 (+17.65%)
Dist-A3CDistributed A3C
Stars: ✭ 37 (+117.65%)
DeepBeerInventory-RLThe code for the SRDQN algorithm to train an agent for the beer game problem
Stars: ✭ 27 (+58.82%)
Object-Goal-NavigationPytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"
Stars: ✭ 107 (+529.41%)
rl pytorchDeep Reinforcement Learning Algorithms Implementation in PyTorch
Stars: ✭ 23 (+35.29%)
ddrlDeep Developmental Reinforcement Learning
Stars: ✭ 27 (+58.82%)
DRL DeliveryDuelDeep Reinforcement Learning applied to a modern 3D video-game environment called Delivery Duel.
Stars: ✭ 30 (+76.47%)
DRL graph explorationAutonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs
Stars: ✭ 53 (+211.76%)
dqn-lambdaNeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.
Stars: ✭ 20 (+17.65%)
Deep-RL-agentsNo description or website provided.
Stars: ✭ 27 (+58.82%)
Deep-Q-NetworksImplementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym
Stars: ✭ 38 (+123.53%)
MaRLEnEMachine- and Reinforcement Learning ExtensioN for (game) Engines
Stars: ✭ 47 (+176.47%)
Pytorch Ddpg NafImplementation of algorithms for continuous control (DDPG and NAF).
Stars: ✭ 254 (+1394.12%)
TianshouAn elegant PyTorch deep reinforcement learning library.
Stars: ✭ 4,109 (+24070.59%)
RlcycleA library for ready-made reinforcement learning agents and reusable components for neat prototyping
Stars: ✭ 184 (+982.35%)
MachinReinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Stars: ✭ 145 (+752.94%)
Hindsight Experience ReplayThis is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.
Stars: ✭ 134 (+688.24%)
OpenaigymSolving OpenAI Gym problems.
Stars: ✭ 98 (+476.47%)
TorchrlPytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
Stars: ✭ 90 (+429.41%)
Run Skeleton RunReason8.ai PyTorch solution for NIPS RL 2017 challenge
Stars: ✭ 83 (+388.24%)
Policy Gradient MethodsImplementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
Stars: ✭ 54 (+217.65%)
Deep Rl KerasKeras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Stars: ✭ 395 (+2223.53%)
TF2-RLReinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
Stars: ✭ 160 (+841.18%)
Paddle-RLBooksPaddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
Stars: ✭ 113 (+564.71%)