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Search results for reinforcement learning actor
actor
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reinforcement-learning
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77 search results found
Iccv2019 Learningtopaint
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2,125
ICCV2019 - Learning to Paint With Model-based Deep Reinforcement Learning
Softlearning
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1,108
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 A3c
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768
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Super Mario Bros A3c Pytorch
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735
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
Gdrl
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422
Grokking Deep Reinforcement Learning
Pytorch Soft Actor Critic
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414
PyTorch implementation of soft actor critic
Tf2rl
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408
TensorFlow2 Reinforcement Learning
Baby Steps Of Rl Ja
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380
Pythonで学ぶ強化学習 -入門から実践まで- サンプルコード
A3c_trading
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378
Trading with recurrent actor-critic reinforcement learning
Genrl
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375
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL
Agentnet
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293
Deep Reinforcement Learning library for humans
Rlcycle
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242
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
Rlgraph
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241
RLgraph: Modular computation graphs for deep reinforcement learning
Pytorch_sac
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232
PyTorch implementation of Soft Actor-Critic (SAC)
Mindmaker
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202
MindMaker UE4 Machine Learning Toolkit
Deep Reinforcement Learning In Stock Trading
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188
Using deep actor-critic model to learn best strategies in pair trading
Adeptrl
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178
Reinforcement learning framework to accelerate research
A2c
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159
A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow
Hierarchical Actor Critic Hac Pytorch
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154
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
Torch Ac
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134
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Torchrl
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127
Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
Overcoming Exploration From Demos
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117
Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI
Street Fighter A3c Icm Pytorch
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106
Curiosity-driven Exploration by Self-supervised Prediction for Street Fighter III Third Strike
Samsung Drl Code
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105
A repository for implementations of deep reinforcement learning lectured at Samsung
Random Network Distillation Pytorch
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99
Random Network Distillation pytorch
Curiosity Driven Exploration Pytorch
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98
Curiosity-driven Exploration by Self-supervised Prediction
Reinforcement Learning
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95
🤖 Implements of Reinforcement Learning algorithms.
Soft Actor Critic And Extensions
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87
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
Reinforcementlearning Atarigame
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87
Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
Async Deep Rl
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68
A Tensorflow based implementation of "Asynchronous Methods for Deep Reinforcement Learning": https://arxiv.org/abs/1602.01783
Distributed_rl
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66
Pytorch implementation of distributed deep reinforcement learning
Pytorch Rl
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64
Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
A3c
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60
Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.
Mario_rl
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57
Papers
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52
Model Free Algorithms
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52
TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x
Java Reinforcement Learning
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50
Package provides java implementation of reinforcement learning algorithms such Q-Learn, R-Learn, SARSA, Actor-Critic
Haiku Scalable Example
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42
Scalable distributed reinforcement learning agents on kubernetes
Pisac
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39
Tensorflow 2 source code for the PI-SAC agent from "Predictive Information Accelerates Learning in RL" (NeurIPS 2020)
Pytorch_sac_ae
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38
PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
Reinforcement Learning Pytorch Cartpole
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36
Simple Cartpole example writed with pytorch.
Policy Gradient Methods
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35
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
A3c_keras_flappybird
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32
Use Asynchronous advantage actor-critic algorithm (A3C) to play Flappy Bird using Keras
Distributed_reinforcement_learning
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31
implementation of distributed reinforcement learning with distributed tensorflow
Rainy
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28
☔ Deep RL agents with PyTorch☔
Meta Learning
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27
Meta Reinforcement Learning Experiments
Snake Reinforcement Learning
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27
AI (A2C agent) mastering the game of Snake with TensorFlow 2.0
A3c Continuous
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27
Tensorflow implementation of the asynchronous advantage actor-critic (a3c) reinforcement learning algorithm for continuous action space
Football Paris
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23
The exact codes used by the team "liveinparis" at the kaggle football competition ranked 8th/1141
Hiro_pytorch
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21
Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
Rldb
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21
Performances of Reinforcement Learning Agents
Rlr
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21
Deep Reinforcement Learning in R (Deep Q Learning, Policy Gradient, Actor-Critic Method, etc)
Impala Distributed Tensorflow
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17
Impala Scalable Distributed Deep Rl With Importance Weighted Actor Learner Architectures
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17
A2c
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17
PyTorch implementation of Advantage Actor-Critic (A2C)
Ga3c Cpp
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16
A C++ implementation of the asynchronous advantage actor-critic (A3C) algorithm
Acktr
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15
Actor Critic using Kronecker-Factored Trust Region
Gala
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15
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning
Rl_sandbox_public
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14
PyTorch implementation of (Deep) Reinforcement Learning (RL) algorithms
Rl_algos
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14
Reinforcement Learning Algorithms
Acis
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13
Actor-Critic Instance Segmentation (CVPR 2019)
Tensorl
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12
Simple and self-contained TensorFlow implementation of reinforcement learning algorithms for continuous control, integrated with OpenAI Gym and other physics engines.
Reinforcement Learning
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11
Collection of reinforcement learning algorithms implementations with TensorFlow2
Deeprlexamples.jl
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11
Deep Reinforcement Learning examples using Julia
Rl And Robot
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10
Asynchronous Off-Policy Deep Reinforcement Learning For Wheeled Robot Path Planning
L2rpn Using A3c
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10
Reinforcement Learning using the Actor-Critic framework for the L2RPN challenge (https://l2rpn.chalearn.org/ & https://competitions.codalab.org/competitions/2284 The agent trained using this code was one of the winners of the challenge. The code runs on the pypownet environment (https://github.com/MarvinLer/pypownet). It is released under a license of LGPLv3
Apex_dqn
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9
Rlin200lines
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9
PyTorch implementations of Reinforcement Learning algorithms in less than 200 lines
Actor Critic Algs On Tensorflow
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8
Distributed RL implementations
C51 Ddpg
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8
This is a TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DDPG)
Reinforcement Learning Agents
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8
Gathers machine learning and deep learning models for Reinforcement Learning
Adaptivesystems
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7
RL CIRL Research
Kristools
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6
Clustor deployable custom DDPG algorithm for Multi Agent RL impleted in Tensorflow
Rl Intro
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6
Introduction to Reinforcement Learning in Python
Spinning_up_kr
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6
Actor Critic
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5
Implementation of A2C and ACKTR in TensorFlow.
Rlcontinuousactionspace
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5
Reinforcement Learning in continuous state and action spaces. DDPG: Deep Deterministic Policy Gradient and A3C: Asynchronous Actor-Critic Agents
Attentiontrl
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5
Attentional Mechanism incorporated in Asynchronous Advantage Actor Critic a3c/a2c deep mind
Reinforcement Learning
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5
Rl Algorithms
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5
DQN, REINFORCE, actor-critic, Q-learning, SARSA, Monte Carlo prediction & control, policy & value iteration
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