Alternatives and similar repositories for reinforcement-learning-super-mario-A3C:

Users that are interested in reinforcement-learning-super-mario-A3C are comparing it to the libraries listed below

• gliese581gg / A3C_tensorflow
  Tensorflow implementation of 'Asynchronous Methods for Deep Reinforcement Learning'
  ☆13Updated 8 years ago
• jsikyoon / a3c-distributed_tensorflow
  Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning
  ☆30Updated 7 years ago
• cxxgtxy / deeprl-baselines
  Deep reinforcement learning baselines base on OpenAI. More algorithms are included, such as Rainbow: Combining Improvements in Deep Rei…
  ☆36Updated 6 years ago
• neka-nat / async-rl-noreward
  Keras implementation of Curiosity-driven Exploration by Self-supervised Prediction
  ☆8Updated 7 years ago
• jcwleo / mario_rl
  ☆69Updated 6 years ago
• analog-rl / Duel_DDQN
  Duel_DDQN (Dueling Network Architectures + Double DQN) using Keras
  ☆31Updated 8 years ago
• ArvindSoma / a3c-super-mario-pytorch
  Reinforcement Learning for Super Mario Bros using A3C on GPU
  ☆37Updated 6 years ago
• xinleipan / gym-gridworld
  Simple grid-world environment compatible with OpenAI-gym
  ☆49Updated 4 years ago
• gd-zhang / ACKTR
  Actor Critic using Kronecker-Factored Trust Region
  ☆19Updated 6 years ago
• liampetti / A3C-LSTM
  A3C-LSTM algorithm tested on CartPole OpenAI Gym environment
  ☆48Updated 6 years ago
• hiwonjoon / tf-a3c-gpu
  Tensorflow implementation of A3C algorithm
  ☆47Updated 7 years ago
• go2sea / NoisyNetDQN
  Tensorflow implementation for "Noisy network for exploration"
  ☆19Updated 7 years ago
• jeappen / gym-grid
  A simple Gridworld environment for Open AI gym
  ☆25Updated 6 years ago
• nanxintin / deep-reinforcement-learning
  Reinforcement Learning and Deep Learning Resources
  ☆16Updated 6 years ago
• gsastry / human-rl
  Code for human intervention reinforcement learning
  ☆33Updated 7 years ago
• Riashat / Bayesian-Exploration-Deep-RL
  Bayesian Uncertainty Exploration in Deep Reinforcement Learning
  ☆18Updated 7 years ago
• fabiopardo / qmap
  Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks
  ☆41Updated 5 years ago
• cmusjtuliuyuan / RainBow
  RainBow, Tensorflow
  ☆49Updated 6 years ago
• deepsense-ai / Distributed-BA3C
  ☆57Updated 2 years ago
• louaaron / GAN-Q-Learning
  Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874
  ☆45Updated 4 years ago
• DongjunLee / dqn-tensorflow
  Deep Q Network implements by Tensorflow
  ☆25Updated 6 years ago
• tuomaso / radial_rl
  Code used in our paper "Robust Deep Reinforment Learning through Adversarial Loss"
  ☆32Updated last year
• cgel / DRL
  A collection of Deep Reinforcement Learning algorithms implemented in tensorflow. Very extensible. High performing DQN implementation.
  ☆29Updated 7 years ago
• Nat-D / FeatureControlHRL
  Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
  ☆80Updated 7 years ago
• MatheusMRFM / A3C-LSTM-with-Tensorflow
  An implementation of the A3C deep reinforcement learning method using a LSTM layer. Created with Tensorflow.
  ☆30Updated 7 years ago
• sadeqa / Super-Mario-Bros-RL
  This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super M…
  ☆79Updated 6 years ago
• gabrieledcjr / DeepRL
  ☆18Updated 5 years ago
• AndersonJo / dqn-pytorch
  Deep Q Learning via Pytorch
  ☆86Updated 7 years ago
• symoon94 / DRQN-keras
  Atari-DRQN (keras ver.)
  ☆33Updated 6 years ago
• veronicachelu / meta-learning
  Meta Reinforcement Learning Experiments
  ☆33Updated 7 years ago