Alternatives and similar repositories for maxq

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

• facebookresearch / reward-estimator-corl
  Reward Estimation for Variance Reduction in Deep Reinforcement Learning
  ☆22Updated 7 years ago
• sanketloke / dlmultiagentsoccer
  Deep Reinforcement Learning for Multi Agent Soccer
  ☆16Updated 9 years ago
• wulfebw / hierarchical_rl
  hierarchical deep reinforcement learning algorithms
  ☆43Updated 8 years ago
• ZhengyaoJiang / NLRL
  Source code of Neural Logic Reinforcement Learning (https://arxiv.org/abs/1904.10729)
  ☆77Updated 6 years ago
• analog-rl / Duel_DDQN
  Duel_DDQN (Dueling Network Architectures + Double DQN) using Keras
  ☆31Updated 9 years ago
• txzhao / rl-zoo
  PyTorch implementation of various reinforcement learning algorithms
  ☆18Updated 7 years ago
• TakuyaHiraoka / Multi-Agent-Reinforcement-Learning-in-Stochastic-Games
  Unofficial PyBrain extension for multi-agent reinforcement learning in general sum stochastic games.
  ☆69Updated 6 months ago
• matheusportela / Multiagent-RL
  Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília
  ☆68Updated 7 years ago
• krfricke / rl-benchmark
  Reinforcement learning benchmarking.
  ☆39Updated 7 years ago
• hhexiy / opponent
  Implementation for ICML 16 paper "Deep reinforcement learning with opponent modeling"
  ☆72Updated 9 years ago
• geek-ai / 1m-agents
  A platform of grid world that supports up to 1 million reinforcement-learning agents.
  ☆70Updated 8 years ago
• nanxintin / deep-reinforcement-learning
  Reinforcement Learning and Deep Learning Resources
  ☆16Updated 7 years ago
• yrlu / reinforcement_learning
  Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.
  ☆152Updated 2 years ago
• veronicachelu / meta-learning
  Meta Reinforcement Learning Experiments
  ☆35Updated 8 years ago
• mbforbes / py-pomdp
  A small tool to parse a POMDP and load into python objects.
  ☆37Updated 6 years ago
• ShangtongZhang / DistributedES
  Distributed implementation of popular evolutionary methods
  ☆64Updated 8 years ago
• aravindr93 / robustRL
  Robust policy search algorithms which train on model ensembles
  ☆30Updated 9 years ago
• cosmoharrigan / neuroevolution
  Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.
  ☆71Updated 4 years ago
• dtak / hip-mdp-public
  Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning
  ☆30Updated 8 years ago
• MOCR / DDPG
  reimplementation of the ddpg algorithm using tensorflow
  ☆38Updated 9 years ago
• cmusjtuliuyuan / RainBow
  RainBow, Tensorflow
  ☆49Updated 7 years ago
• illidanlab / cdrl
  Collaborative Deep Reinforcement Learning
  ☆31Updated 8 years ago
• hildensia / mcts
  An implementation of Monte Carlo Tree Search in python
  ☆163Updated 5 years ago
• takoika / PrioritizedExperienceReplay
  Yet another prioritized experience replay buffer implementation.
  ☆48Updated 3 years ago
• mhauskn / dqn-hfo
  ☆79Updated 7 years ago
• quanvuong / Supervised_Policy_Update
  Code to reproduce Supervised Policy Update (ICLR 2019)
  ☆17Updated 3 years ago
• florensacc / snn4hrl
  Stochastic Neural Networks for Hierarchical Reinforcement Learning
  ☆94Updated 7 years ago
• cjm715 / mgym
  A collection of multi-agent reinforcement learning OpenAI gym environments
  ☆46Updated 5 years ago
• krasheninnikov / max-causal-ent-irl
  Maximum Causal Entropy Inverse Reinforcement Learning
  ☆48Updated 7 years ago
• Alfo5123 / Robust-Multitask-RL
  Machine Learning Course Project Skoltech 2018
  ☆108Updated 6 years ago