Alternatives and similar repositories for a3c:

Users that are interested in a3c are comparing it to the libraries listed below

• deepsense-ai / Distributed-BA3C
  ☆56Updated 2 years ago
• arnomoonens / yarll
  Combining deep learning and reinforcement learning.
  ☆80Updated 3 years ago
• jjkke88 / RL_toolbox
  reinfore learning tool box, contains trpo, a3c algorithm for continous action space
  ☆42Updated 7 years ago
• georgesung / deep_rl_acrobot
  TensorFlow A2C to solve Acrobot, with synchronized parallel environments
  ☆35Updated 6 years ago
• MOCR / DDPG
  reimplementation of the ddpg algorithm using tensorflow
  ☆38Updated 8 years ago
• xinleipan / gym-gridworld
  Simple grid-world environment compatible with OpenAI-gym
  ☆49Updated 5 years ago
• onlytailei / A3C-PyTorch
  PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch
  ☆114Updated 7 years ago
• floringogianu / categorical-dqn
  A working implementation of the Categorical DQN (Distributional RL).
  ☆96Updated 6 years ago
• lnpalmer / PPO
  PyTorch implementation of Proximal Policy Optimization
  ☆51Updated 7 years ago
• jeappen / gym-grid
  A simple Gridworld environment for Open AI gym
  ☆25Updated 6 years ago
• krfricke / rl-benchmark
  Reinforcement learning benchmarking.
  ☆40Updated 6 years ago
• kimhc6028 / pytorch-noreward-rl
  pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction
  ☆79Updated 6 years ago
• AdamStelmaszczyk / learning2run
  Our NIPS 2017: Learning to Run source code
  ☆55Updated 2 years ago
• flowersteam / geppg
  ☆35Updated 6 years ago
• clvrai / FeatureControlHRL-Tensorflow
  A Tensorflow implementation of Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
  ☆32Updated 7 years ago
• jvmncs / ParamNoise
  A comparison of parameter space noise methods for exploration in deep reinforcement learning
  ☆27Updated 6 years ago
• gtoubassi / dqn-atari
  A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well
  ☆92Updated 7 years ago
• ShangtongZhang / DistributedES
  Distributed implementation of popular evolutionary methods
  ☆64Updated 7 years ago
• hiwonjoon / tf-a3c-gpu
  Tensorflow implementation of A3C algorithm
  ☆47Updated 7 years ago
• onlytailei / Value-Iteration-Networks-PyTorch
  PyTorch implementation of the Value Iteration Networks (VIN) (NIPS '16 best paper)
  ☆80Updated 8 years ago
• jsikyoon / a3c-distributed_tensorflow
  Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning
  ☆29Updated 7 years ago
• openai / baselines-results
  ☆117Updated 4 years ago
• Breakend / RLSSContinuousControlTutorial
  Tutorial on continuous control at Reinforcement Learning Summer School 2017.
  ☆34Updated 7 years ago
• ppaquette / gym-doom
  Gym - Doom environments based on VizDoom.
  ☆103Updated 8 years ago
• ppaquette / gym-pull
  Add-on for OpenAI Gym that supports automatic downloading of user environments.
  ☆45Updated 7 years ago
• gliese581gg / batch-A3C_tensorflow
  Modified tensorflow implementation of 'Asynchronous Methods for Deep Reinforcement Learning'
  ☆21Updated 8 years ago
• Kaixhin / NoisyNet-A3C
  Noisy Networks for Exploration
  ☆186Updated 7 years ago
• mihahauke / deep_rl_vizdoom
  Deep reinforcement learning in ViZDoom (using Tensorflow)
  ☆19Updated 7 years ago
• AdeelMufti / RL-RND
  Full Chainer implementation of OpenAI's Reinforcement Learning using Random Network Distillation
  ☆31Updated 5 years ago
• zuoxingdong / VIN_TensorFlow
  TensorFlow implementation of Value Iteration Networks (VIN): Clean, Simple and Modular
  ☆52Updated 8 years ago