Alternatives and similar repositories for pymdptoolbox:

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

• pemami4911 / POMDPy
  POMDPs in Python.
  ☆246Updated 5 years ago
• VinF / deer
  DEEp Reinforcement learning framework
  ☆485Updated 8 months ago
• rlpy / rlpy
  RLPy Reinforcement Learning Framework
  ☆251Updated 5 years ago
• coverdrive / MDP-DP-RL
  Markov Decision Processes, Dynamic Programming and Reinforcement Learning
  ☆277Updated 3 years ago
• joschu / modular_rl
  Implementation of TRPO and related algorithms
  ☆624Updated 6 years ago
• haarnoja / softqlearning
  Reinforcement Learning with Deep Energy-Based Policies
  ☆418Updated last year
• Svalorzen / AI-Toolbox
  A C++ framework for MDPs and POMDPs with Python bindings
  ☆654Updated last year
• sisl / MADRL
  Repo containing code for multi-agent deep reinforcement learning (MADRL).
  ☆682Updated last year
• floodsung / DDPG
  Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
  ☆560Updated 3 years ago
• yanpanlau / DDPG-Keras-Torcs
  Using Keras and Deep Deterministic Policy Gradient to play TORCS
  ☆719Updated 7 years ago
• hildensia / mcts
  An implementation of Monte Carlo Tree Search in python
  ☆163Updated 4 years ago
• stevenpjg / ddpg-aigym
  Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…
  ☆274Updated 6 years ago
• mimoralea / applied-reinforcement-learning
  Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
  ☆319Updated 4 years ago
• jachiam / cpo
  Constrained Policy Optimization
  ☆308Updated 7 years ago
• iassael / learning-to-communicate
  Learning to Communicate with Deep Multi-Agent Reinforcement Learning
  ☆438Updated 5 years ago
• rll / rllab
  rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
  ☆2,929Updated last year
• lilianweng / deep-reinforcement-learning-gym
  Deep reinforcement learning model implementation in Tensorflow + OpenAI gym
  ☆288Updated last year
• openai / imitation
  Code for the paper "Generative Adversarial Imitation Learning"
  ☆698Updated 6 years ago
• MADPToolbox / MADP
  The Multiagent Decision Process (MADP) Toolbox - planning and learning in multiagent systems.
  ☆76Updated 4 years ago
• miyosuda / async_deep_reinforce
  Asynchronous Methods for Deep Reinforcement Learning
  ☆591Updated 6 years ago
• google-deepmind / dqn
  Lua/Torch implementation of DQN (Nature, 2015)
  ☆591Updated 7 years ago
• muupan / async-rl
  Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)
  ☆401Updated 7 years ago
• MatthewJA / Inverse-Reinforcement-Learning
  Implementations of selected inverse reinforcement learning algorithms.
  ☆991Updated 2 years ago
• anagabandi / nn_dynamics
  ☆339Updated 6 years ago
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆659Updated 4 years ago
• TakuyaHiraoka / Multi-Agent-Reinforcement-Learning-in-Stochastic-Games
  Unofficial PyBrain extension for multi-agent reinforcement learning in general sum stochastic games.
  ☆70Updated 8 years ago
• jingweiz / pytorch-rl
  Deep Reinforcement Learning with pytorch & visdom
  ☆796Updated 4 years ago
• jmacglashan / burlap
  Repository for the ongoing development of the Brown-UMBC Reinforcement Learning And Planning (BURLAP) java library
  ☆273Updated 2 years ago
• mpatacchiola / dissecting-reinforcement-learning
  Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
  ☆614Updated last year
• pemami4911 / deep-rl
  Collection of Deep Reinforcement Learning algorithms
  ☆298Updated 5 years ago