Alternatives and similar repositories for maxq

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

• sanketloke / dlmultiagentsoccer
  Deep Reinforcement Learning for Multi Agent Soccer
  ☆17Updated 8 years ago
• wulfebw / hierarchical_rl
  hierarchical deep reinforcement learning algorithms
  ☆42Updated 7 years ago
• mbforbes / py-pomdp
  A small tool to parse a POMDP and load into python objects.
  ☆37Updated 5 years ago
• nanxintin / deep-reinforcement-learning
  Reinforcement Learning and Deep Learning Resources
  ☆16Updated 7 years ago
• analog-rl / Duel_DDQN
  Duel_DDQN (Dueling Network Architectures + Double DQN) using Keras
  ☆31Updated 9 years ago
• geek-ai / 1m-agents
  A platform of grid world that supports up to 1 million reinforcement-learning agents.
  ☆69Updated 8 years ago
• aravindr93 / robustRL
  Robust policy search algorithms which train on model ensembles
  ☆30Updated 8 years ago
• TakuyaHiraoka / Multi-Agent-Reinforcement-Learning-in-Stochastic-Games
  Unofficial PyBrain extension for multi-agent reinforcement learning in general sum stochastic games.
  ☆69Updated 2 months ago
• cosmoharrigan / neuroevolution
  Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.
  ☆71Updated 4 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
• MOCR / DDPG
  reimplementation of the ddpg algorithm using tensorflow
  ☆38Updated 8 years ago
• ShangtongZhang / DistributedES
  Distributed implementation of popular evolutionary methods
  ☆64Updated 7 years ago
• marcino239 / pilco
  Using Pilco algorithm to find a controller for few robotic problems
  ☆43Updated 10 years ago
• krasheninnikov / max-causal-ent-irl
  Maximum Causal Entropy Inverse Reinforcement Learning
  ☆48Updated 6 years ago
• kimhc6028 / policy-gradient-importance-sampling
  Policy gradient reinforcement learning algorithm with importance sampling
  ☆32Updated 8 years ago
• ZhengyaoJiang / NLRL
  Source code of Neural Logic Reinforcement Learning (https://arxiv.org/abs/1904.10729)
  ☆76Updated 5 years ago
• quanvuong / Supervised_Policy_Update
  Code to reproduce Supervised Policy Update (ICLR 2019)
  ☆17Updated 2 years ago
• go2sea / C51DQN
  A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)
  ☆57Updated 8 years ago
• Feryal / craft-env
  ☆44Updated 6 years ago
• takoika / PrioritizedExperienceReplay
  Yet another prioritized experience replay buffer implementation.
  ☆48Updated 2 years ago
• matheusportela / Multiagent-RL
  Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília
  ☆68Updated 7 years ago
• florensacc / snn4hrl
  Stochastic Neural Networks for Hierarchical Reinforcement Learning
  ☆94Updated 7 years ago
• facebookresearch / reward-estimator-corl
  Reward Estimation for Variance Reduction in Deep Reinforcement Learning
  ☆22Updated 6 years ago
• krfricke / rl-benchmark
  Reinforcement learning benchmarking.
  ☆39Updated 6 years ago
• veronicachelu / meta-learning
  Meta Reinforcement Learning Experiments
  ☆34Updated 8 years ago
• yrlu / reinforcement_learning
  Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.
  ☆151Updated 2 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆51Updated 6 years ago
• ShibiHe / Q-Optimality-Tightening
  This is my implementation of the Optimality Tightening
  ☆37Updated 8 years ago
• wulfebw / async_rl
  Python implementation of tabular asynchronous actor critic
  ☆11Updated 9 years ago
• alexis-jacq / LOLA_DiCE
  Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)
  ☆96Updated 7 years ago