Alternatives and similar repositories for pymdptoolbox

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

• rlpy / rlpy
  RLPy Reinforcement Learning Framework
  ☆254Updated 6 years ago
• VinF / deer
  DEEp Reinforcement learning framework
  ☆489Updated 6 months 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
  ☆624Updated 2 years ago
• pemami4911 / POMDPy
  POMDPs in Python.
  ☆254Updated 6 years ago
• yanpanlau / DDPG-Keras-Torcs
  Using Keras and Deep Deterministic Policy Gradient to play TORCS
  ☆727Updated 8 years ago
• coverdrive / MDP-DP-RL
  Markov Decision Processes, Dynamic Programming and Reinforcement Learning
  ☆303Updated 4 years ago
• stevenpjg / ddpg-aigym
  Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…
  ☆276Updated 7 years ago
• jaromiru / AI-blog
  Accompanying repository for Let's make a DQN / A3C series.
  ☆394Updated 7 years ago
• Svalorzen / AI-Toolbox
  A C++ framework for MDPs and POMDPs with Python bindings
  ☆665Updated 10 months 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
• joschu / modular_rl
  Implementation of TRPO and related algorithms
  ☆643Updated 7 years ago
• pemami4911 / deep-rl
  Collection of Deep Reinforcement Learning algorithms
  ☆300Updated 6 years ago
• mimoralea / applied-reinforcement-learning
  Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
  ☆331Updated 5 years ago
• samindaa / RLLib
  C++ Template Library to Predict, Control, Learn Behaviors, and Represent Learnable Knowledge using On/Off Policy Reinforcement Learning
  ☆208Updated 9 years ago
• floodsung / DDPG
  Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
  ☆572Updated 4 years ago
• awjuliani / Meta-RL
  Implementation of Meta-RL A3C algorithm
  ☆406Updated 8 years ago
• iassael / learning-to-communicate
  Learning to Communicate with Deep Multi-Agent Reinforcement Learning
  ☆443Updated 6 years ago
• openai / gym-soccer
  ☆304Updated 2 years ago
• haarnoja / softqlearning
  Reinforcement Learning with Deep Energy-Based Policies
  ☆435Updated 2 years ago
• google-deepmind / dqn
  Lua/Torch implementation of DQN (Nature, 2015)
  ☆625Updated 8 years ago
• jmacglashan / burlap
  Repository for the ongoing development of the Brown-UMBC Reinforcement Learning And Planning (BURLAP) java library
  ☆273Updated 3 years ago
• kengz / openai_lab
  An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
  ☆328Updated 7 years ago
• ugo-nama-kun / gym_torcs
  ☆421Updated 7 years ago
• muupan / async-rl
  Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)
  ☆408Updated 8 years ago
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆661Updated 5 years ago
• openai / evolution-strategies-starter
  Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
  ☆1,620Updated 6 years ago
• MatthewJA / Inverse-Reinforcement-Learning
  Implementations of selected inverse reinforcement learning algorithms.
  ☆1,059Updated 3 years ago
• amarack / python-rl
  Some Reinforcement Learning in Python
  ☆116Updated 8 years ago
• rll / rllab
  rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
  ☆3,039Updated 2 years ago
• hildensia / mcts
  An implementation of Monte Carlo Tree Search in python
  ☆163Updated 5 years ago