All Projects → Deer → Similar Projects or Alternatives

396 Open source projects that are alternatives of or similar to Deer

snake-reinforcement-DNN
Developing a deep neural network to play a snake game
Stars: ✭ 12 (-97.36%)
qbso-fs
Python implementation of QBSO-FS : a Reinforcement Learning based Bee Swarm Optimization metaheuristic for Feature Selection problem.
Stars: ✭ 47 (-89.67%)
Mutual labels:  q-learning
Pytorch Trpo
PyTorch implementation of Trust Region Policy Optimization
Stars: ✭ 303 (-33.41%)
rlflow
A TensorFlow-based framework for learning about and experimenting with reinforcement learning algorithms
Stars: ✭ 20 (-95.6%)
Detection 2016 Nipsws
Hierarchical Object Detection with Deep Reinforcement Learning
Stars: ✭ 401 (-11.87%)
Autonomous-Drifting
Autonomous Drifting using Reinforcement Learning
Stars: ✭ 83 (-81.76%)
Deep rl
PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, SAC-AEA)
Stars: ✭ 291 (-36.04%)
SRLF
Simple Reinforcement Learning Framework
Stars: ✭ 24 (-94.73%)
Text summurization abstractive methods
Multiple implementations for abstractive text summurization , using google colab
Stars: ✭ 359 (-21.1%)
Mutual labels:  policy-gradient
DeepBeerInventory-RL
The code for the SRDQN algorithm to train an agent for the beer game problem
Stars: ✭ 27 (-94.07%)
Pytorch Dqn
Deep Q-Learning Network in pytorch (not actively maintained)
Stars: ✭ 282 (-38.02%)
Deep-Reinforcement-Learning
Introduction to Deep Reinforcement Learning
Stars: ✭ 71 (-84.4%)
Deep reinforcement learning course
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Stars: ✭ 3,232 (+610.33%)
Reinforcement Learning
Research repo of RL
Stars: ✭ 20 (-95.6%)
wolpertinger ddpg
Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.
Stars: ✭ 44 (-90.33%)
Mydeeplearning
A deep learning library to provide algs in pure Numpy or Tensorflow.
Stars: ✭ 281 (-38.24%)
Mutual labels:  q-learning
SeqGAN-PyTorch
Implementation of Sequence Generative Adversarial Nets with Policy Gradient in PyTorch
Stars: ✭ 40 (-91.21%)
Mutual labels:  policy-gradient
Tf2rl
TensorFlow2 Reinforcement Learning
Stars: ✭ 353 (-22.42%)
Trading Bot
Stock Trading Bot using Deep Q-Learning
Stars: ✭ 273 (-40%)
Mutual labels:  q-learning
Object-Goal-Navigation
Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"
Stars: ✭ 107 (-76.48%)
Curl
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
Stars: ✭ 346 (-23.96%)
Tensorforce
Tensorforce: a TensorFlow library for applied reinforcement learning
Stars: ✭ 3,062 (+572.97%)
Q-GridWorld
Demo project using tabular Q-learning algorithm
Stars: ✭ 123 (-72.97%)
Mutual labels:  q-learning
rl pytorch
Deep Reinforcement Learning Algorithms Implementation in PyTorch
Stars: ✭ 23 (-94.95%)
Pytorch Ddpg
Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
Stars: ✭ 272 (-40.22%)
ddrl
Deep Developmental Reinforcement Learning
Stars: ✭ 27 (-94.07%)
DRL DeliveryDuel
Deep Reinforcement Learning applied to a modern 3D video-game environment called Delivery Duel.
Stars: ✭ 30 (-93.41%)
Rlgraph
RLgraph: Modular computation graphs for deep reinforcement learning
Stars: ✭ 272 (-40.22%)
DRL graph exploration
Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs
Stars: ✭ 53 (-88.35%)
dqn-lambda
NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.
Stars: ✭ 20 (-95.6%)
Drq
DrQ: Data regularized Q
Stars: ✭ 268 (-41.1%)
Deep-RL-agents
No description or website provided.
Stars: ✭ 27 (-94.07%)
Rl Portfolio Management
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)
Stars: ✭ 447 (-1.76%)
Autonomous Learning Library
A PyTorch library for building deep reinforcement learning agents.
Stars: ✭ 425 (-6.59%)
TRPO-TensorFlow
Trust Region Policy Optimization (TRPO) in pure TensorFlow
Stars: ✭ 17 (-96.26%)
Mutual labels:  policy-gradient
Trpo
Trust Region Policy Optimization with TensorFlow and OpenAI Gym
Stars: ✭ 343 (-24.62%)
Mutual labels:  policy-gradient
Rad
RAD: Reinforcement Learning with Augmented Data
Stars: ✭ 268 (-41.1%)
Deep-Q-Networks
Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym
Stars: ✭ 38 (-91.65%)
MaRLEnE
Machine- and Reinforcement Learning ExtensioN for (game) Engines
Stars: ✭ 47 (-89.67%)
Atari
Persistent advantage learning dueling double DQN for the Arcade Learning Environment
Stars: ✭ 261 (-42.64%)
deep-rl-quadcopter
Implementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!
Stars: ✭ 17 (-96.26%)
playing-mario-with-deep-reinforcement-learning
An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.
Stars: ✭ 55 (-87.91%)
Rlzoo
A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀
Stars: ✭ 342 (-24.84%)
Gym Gazebo2
gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo
Stars: ✭ 257 (-43.52%)
FLEXS
Fitness landscape exploration sandbox for biological sequence design.
Stars: ✭ 92 (-79.78%)
rl-medical
Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.
Stars: ✭ 36 (-92.09%)
Planet
Deep Planning Network: Control from pixels by latent planning with learned dynamics
Stars: ✭ 257 (-43.52%)
robustnav
Evaluating pre-trained navigation agents under corruptions
Stars: ✭ 18 (-96.04%)
td-reg
TD-Regularized Actor-Critic Methods
Stars: ✭ 28 (-93.85%)
Mutual labels:  policy-gradient
Ml From Scratch
Python implementations of some of the fundamental Machine Learning models and algorithms from scratch.
Stars: ✭ 20,624 (+4432.75%)
Crypto Rl
Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
Stars: ✭ 328 (-27.91%)
pysc2-rl-agents
StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)
Stars: ✭ 124 (-72.75%)
Deep-Quality-Value-Family
Official implementation of the paper "Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning Algorithms": https://arxiv.org/abs/1909.01779 To appear at the next NeurIPS2019 DRL-Workshop
Stars: ✭ 12 (-97.36%)
deep trading
This project aims to select a supervised algorithm that can predict stock prices basing on historical data and use the predictor generated to form trading strategies.
Stars: ✭ 18 (-96.04%)
Mutual labels:  policy-gradient
deep reinforcement learning gallery
Deep reinforcement learning with tensorflow2
Stars: ✭ 35 (-92.31%)
pytorch-hdqn
Hierarchical-DQN in pytorch (not actively maintained)
Stars: ✭ 36 (-92.09%)
deep-Q-networks
Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51
Stars: ✭ 135 (-70.33%)
Mutual labels:  q-learning
Reinforcement Learning
Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3
Stars: ✭ 61 (-86.59%)
Mutual labels:  policy-gradient
HandyRL
HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.
Stars: ✭ 228 (-49.89%)
Mutual labels:  policy-gradient
RCNN MDP
Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.
Stars: ✭ 65 (-85.71%)
61-120 of 396 similar projects