Paddle-RLBooksPaddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
Stars: ✭ 113 (+169.05%)
breakout-Deep-Q-NetworkReinforcement Learning | tensorflow implementation of DQN, Dueling DQN and Double DQN performed on Atari Breakout
Stars: ✭ 69 (+64.29%)
DeeprlModularized Implementation of Deep RL Algorithms in PyTorch
Stars: ✭ 2,640 (+6185.71%)
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 (-64.29%)
Deep Rl Tradingplaying idealized trading games with deep reinforcement learning
Stars: ✭ 228 (+442.86%)
dqn-obstacle-avoidanceDeep Reinforcement Learning for Fixed-Wing Flight Control with Deep Q-Network
Stars: ✭ 57 (+35.71%)
Pytorch DrlPyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Stars: ✭ 233 (+454.76%)
pacman-aiA.I. plays the original 1980 Pacman using Neuroevolution of Augmenting Topologies and Deep Q Learning
Stars: ✭ 26 (-38.1%)
RlcycleA library for ready-made reinforcement learning agents and reusable components for neat prototyping
Stars: ✭ 184 (+338.1%)
connect4Solving board games like Connect4 using Deep Reinforcement Learning
Stars: ✭ 33 (-21.43%)
AtariAI research environment for the Atari 2600 games 🤖.
Stars: ✭ 174 (+314.29%)
DrlRepository for codes of 'Deep Reinforcement Learning'
Stars: ✭ 172 (+309.52%)
AgentsTF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
Stars: ✭ 2,135 (+4983.33%)
dqn-tensorflowDeep Q Network implements by Tensorflow
Stars: ✭ 25 (-40.48%)
DQN-AtariDeep Q-Learning (DQN) implementation for Atari pong.
Stars: ✭ 53 (+26.19%)
PerPrioritized Experience Replay (PER) implementation in PyTorch
Stars: ✭ 147 (+250%)
RainbowA PyTorch implementation of Rainbow DQN agent
Stars: ✭ 147 (+250%)
omdJAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
Stars: ✭ 43 (+2.38%)
Keras Rl2Reinforcement learning with tensorflow 2 keras
Stars: ✭ 134 (+219.05%)
Aleph starReinforcement learning with A* and a deep heuristic
Stars: ✭ 235 (+459.52%)
RL-FlappyBirdUsing reinforcement learning to train FlappyBird.
Stars: ✭ 68 (+61.9%)
distributed rlPytorch implementation of distributed deep reinforcement learning
Stars: ✭ 66 (+57.14%)
Snake Ai ReinforcementAI for Snake game trained from pixels using Deep Reinforcement Learning (DQN).
Stars: ✭ 123 (+192.86%)
Rainy☔ Deep RL agents with PyTorch☔
Stars: ✭ 39 (-7.14%)
ElegantRLScalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥
Stars: ✭ 2,074 (+4838.1%)
Tensorflow RlImplementations of deep RL papers and random experimentation
Stars: ✭ 176 (+319.05%)
UAV-DDPGCode for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
Stars: ✭ 133 (+216.67%)
Machine Learning Is All You Need🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
Stars: ✭ 173 (+311.9%)
pytorch-rlPytorch Implementation of RL algorithms
Stars: ✭ 15 (-64.29%)
Deep Reinforcement Learning Algorithms31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
Stars: ✭ 167 (+297.62%)
logrlLogarithmic Reinforcement Learning
Stars: ✭ 25 (-40.48%)
king-pongDeep Reinforcement Learning Pong Agent, King Pong, he's the best
Stars: ✭ 23 (-45.24%)
Ros2learnROS 2 enabled Machine Learning algorithms
Stars: ✭ 119 (+183.33%)
MinimalrlImplementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Stars: ✭ 2,051 (+4783.33%)
MachinReinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Stars: ✭ 145 (+245.24%)
distributedRLA framework for easy prototyping of distributed reinforcement learning algorithms
Stars: ✭ 93 (+121.43%)
Drqn TensorflowDeep recurrent Q Learning using Tensorflow, openai/gym and openai/retro
Stars: ✭ 127 (+202.38%)
Deep Rl TensorflowTensorFlow implementation of Deep Reinforcement Learning papers
Stars: ✭ 1,552 (+3595.24%)
ExplorerExplorer is a PyTorch reinforcement learning framework for exploring new ideas.
Stars: ✭ 54 (+28.57%)
Ctc ExecutionerMaster Thesis: Limit order placement with Reinforcement Learning
Stars: ✭ 112 (+166.67%)
CartpoleOpenAI's cartpole env solver.
Stars: ✭ 107 (+154.76%)
Easy Rl强化学习中文教程,在线阅读地址:https://datawhalechina.github.io/easy-rl/
Stars: ✭ 3,004 (+7052.38%)
DQN-pytorchA PyTorch implementation of Human-Level Control through Deep Reinforcement Learning
Stars: ✭ 23 (-45.24%)
Deep-rl-mxnetMxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO
Stars: ✭ 26 (-38.1%)
TianshouAn elegant PyTorch deep reinforcement learning library.
Stars: ✭ 4,109 (+9683.33%)