sawcordwell / pymdptoolbox

Related projects: ⓘ

• pemami4911 / POMDPy
  POMDPs in Python.
  ☆241Updated 5 years ago
• rlpy / rlpy
  RLPy Reinforcement Learning Framework
  ☆250Updated 4 years ago
• joschu / modular_rl
  Implementation of TRPO and related algorithms
  ☆617Updated 6 years ago
• coverdrive / MDP-DP-RL
  Markov Decision Processes, Dynamic Programming and Reinforcement Learning
  ☆268Updated 3 years ago
• rll / rllab
  rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
  ☆2,892Updated last year
• yanpanlau / DDPG-Keras-Torcs
  Using Keras and Deep Deterministic Policy Gradient to play TORCS
  ☆715Updated 6 years ago
• MatthewJA / Inverse-Reinforcement-Learning
  Implementations of selected inverse reinforcement learning algorithms.
  ☆972Updated last year
• floodsung / DDPG
  Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
  ☆550Updated 2 years ago
• Svalorzen / AI-Toolbox
  A C++ framework for MDPs and POMDPs with Python bindings
  ☆647Updated 8 months ago
• geek-ai / MAgent
  A Platform for Many-Agent Reinforcement Learning
  ☆1,685Updated last year
• VinF / deer
  DEEp Reinforcement learning framework
  ☆485Updated 4 months ago
• openai / imitation
  Code for the paper "Generative Adversarial Imitation Learning"
  ☆685Updated 5 years ago
• iassael / learning-to-communicate
  Learning to Communicate with Deep Multi-Agent Reinforcement Learning
  ☆435Updated 5 years ago
• google-deepmind / dqn
  Lua/Torch implementation of DQN (Nature, 2015)
  ☆586Updated 7 years ago
• jaromiru / AI-blog
  Accompanying repository for Let's make a DQN / A3C series.
  ☆391Updated 6 years ago
• haarnoja / softqlearning
  Reinforcement Learning with Deep Energy-Based Policies
  ☆411Updated 9 months ago
• stevenpjg / ddpg-aigym
  Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…
  ☆272Updated 6 years ago
• pemami4911 / deep-rl
  Collection of Deep Reinforcement Learning algorithms
  ☆297Updated 5 years ago
• sisl / MADRL
  Repo containing code for multi-agent deep reinforcement learning (MADRL).
  ☆653Updated last year
• tambetm / simple_dqn
  Simple deep Q-learning agent.
  ☆693Updated 5 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
  ☆609Updated last year
• berkeleydeeprlcourse / homework
  Assignments for CS294-112.
  ☆1,558Updated last year
• ugo-nama-kun / gym_torcs
  ☆409Updated 6 years ago
• hardmaru / estool
  Evolution Strategies Tool
  ☆928Updated last year
• jmacglashan / burlap
  Repository for the ongoing development of the Brown-UMBC Reinforcement Learning And Planning (BURLAP) java library
  ☆273Updated 2 years ago
• muupan / async-rl
  Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)
  ☆401Updated 7 years ago
• david-abel / simple_rl
  A simple framework for experimenting with Reinforcement Learning in Python.
  ☆270Updated 6 months ago
• rail-berkeley / softlearning
  Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…
  ☆1,198Updated 9 months ago
• yrlu / irl-imitation
  Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
  ☆570Updated 4 months ago
• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,094Updated 6 years ago