h2r / burlap_caffe

Related projects ⓘ

Alternatives and complementary repositories for burlap_caffe

• MOCR / DDPG
  reimplementation of the ddpg algorithm using tensorflow
  ☆38Updated 8 years ago
• go2sea / C51DQN
  A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)
  ☆56Updated 7 years ago
• 5vision / DARQN
  Deep Attention Recurrent Q-Network
  ☆115Updated 9 years ago
• onlytailei / A3C-PyTorch
  PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch
  ☆114Updated 7 years ago
• steveKapturowski / tensorflow-rl
  Implementations of deep RL papers and random experimentation
  ☆177Updated 6 years ago
• analog-rl / Duel_DDQN
  Duel_DDQN (Dueling Network Architectures + Double DQN) using Keras
  ☆32Updated 8 years ago
• yrlu / reinforcement_learning
  Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.
  ☆151Updated last year
• jjkke88 / RL_toolbox
  reinfore learning tool box, contains trpo, a3c algorithm for continous action space
  ☆43Updated 6 years ago
• yao62995 / A3C
  Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.
  ☆121Updated 8 years ago
• wangshusen / deep-rl
  Collection of Deep Reinforcement Learning algorithms
  ☆123Updated 7 years ago
• gliese581gg / batch-A3C_tensorflow
  Modified tensorflow implementation of 'Asynchronous Methods for Deep Reinforcement Learning'
  ☆22Updated 7 years ago
• lightaime / TensorAgent
  Deep reinforcement learning agents implement by tensorflow https://ghli.org
  ☆54Updated 5 years ago
• NeuroCSUT / DeepMind-Atari-Deep-Q-Learner-2Player
  Multiagent Cooperation and Competition with Deep Reinforcement Learning
  ☆123Updated 8 years ago
• borgwang / reinforce_py
  Reinforcement Learning in Python
  ☆107Updated 4 years ago
• iaroslav-ai / gan-rl
  Training Reinforcement Learning agent using derivative of Generative Recurrent Neural Network model of environment
  ☆23Updated 8 years ago
• tanmayshankar / RCNN_MDP
  Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.
  ☆69Updated 7 years ago
• jsikyoon / a3c-distributed_tensorflow
  Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning
  ☆31Updated 6 years ago
• Islandman93 / reinforcepy
  Collection of reinforcement learners implemented in python. Mainly including DQN and its variants
  ☆54Updated 7 years ago
• mihahauke / VDAIC2017
  Helpful files for Visual Doom AI Competition 2017
  ☆44Updated 6 years ago
• rmst / ddpg
  TensorFlow implementation of the DDPG algorithm from the paper Continuous Control with Deep Reinforcement Learning (ICLR 2016)
  ☆211Updated 6 years ago
• Maluuba / hra
  Hybrid Reward Architecture
  ☆78Updated 6 years ago
• openai / baselines-results
  ☆117Updated 4 years ago
• yao62995 / Deep_Reinforcement_Learning
  Series Algorithms of Deep Reinforcement Learning, such as DQN, DDQN, one-step-DQN, DDPG, etc
  ☆41Updated 8 years ago
• alexis-jacq / Pytorch-DPPO
  Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286
  ☆180Updated 6 years ago
• mhauskn / dqn-hfo
  ☆78Updated 6 years ago
• geek-ai / 1m-agents
  A platform of grid world that supports up to 1 million reinforcement-learning agents.
  ☆70Updated 7 years ago
• akolishchak / doom-net-pytorch
  Reinforcement learning models in ViZDoom environment
  ☆132Updated 2 years ago
• Breakend / DeepReinforcementLearningThatMatters
  Accompanying code for "Deep Reinforcement Learning that Matters"
  ☆153Updated 7 years ago