Alternatives and similar repositories for AI-Toolbox

Users that are interested in AI-Toolbox are comparing it to the libraries listed below

• samindaa / RLLib
  C++ Template Library to Predict, Control, Learn Behaviors, and Represent Learnable Knowledge using On/Off Policy Reinforcement Learning
  ☆206Updated 9 years ago
• sawcordwell / pymdptoolbox
  Markov Decision Process (MDP) Toolbox for Python
  ☆550Updated 2 years ago
• Omegastick / pytorch-cpp-rl
  PyTorch C++ Reinforcement Learning
  ☆528Updated 5 years ago
• pemami4911 / POMDPy
  POMDPs in Python.
  ☆252Updated 6 years ago
• anagabandi / nn_dynamics
  ☆345Updated 7 years ago
• joschu / modular_rl
  Implementation of TRPO and related algorithms
  ☆642Updated 7 years ago
• MADPToolbox / MADP
  The Multiagent Decision Process (MADP) Toolbox - planning and learning in multiagent systems.
  ☆84Updated 5 years ago
• IntelLabs / coach
  Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
  ☆2,357Updated 3 years ago
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆661Updated 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
  ☆623Updated 2 years ago
• ugo-nama-kun / gym_torcs
  ☆417Updated 7 years ago
• openai / mlsh
  Code for the paper "Meta-Learning Shared Hierarchies"
  ☆618Updated 2 years ago
• modestyachts / ARS
  An implementation of the Augmented Random Search algorithm
  ☆425Updated 4 years ago
• openai / multiagent-competition
  Code for the paper "Emergent Complexity via Multi-agent Competition"
  ☆826Updated 2 years ago
• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,122Updated 8 years ago
• google-deepmind / scalable_agent
  A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
  ☆1,014Updated 6 years ago
• rll / rllab
  rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
  ☆3,030Updated 2 years ago
• rlgraph / rlgraph
  RLgraph: Modular computation graphs for deep reinforcement learning
  ☆323Updated 6 years ago
• haarnoja / softqlearning
  Reinforcement Learning with Deep Energy-Based Policies
  ☆435Updated 2 years ago
• hardmaru / estool
  Evolution Strategies Tool
  ☆953Updated 3 years ago
• cbfinn / gps
  Guided Policy Search
  ☆602Updated 4 years ago
• openai / imitation
  Code for the paper "Generative Adversarial Imitation Learning"
  ☆727Updated 7 years ago
• yanpanlau / DDPG-Keras-Torcs
  Using Keras and Deep Deterministic Policy Gradient to play TORCS
  ☆726Updated 8 years ago
• iassael / learning-to-communicate
  Learning to Communicate with Deep Multi-Agent Reinforcement Learning
  ☆441Updated 6 years ago
• rlpy / rlpy
  RLPy Reinforcement Learning Framework
  ☆254Updated 6 years ago
• duckietown / gym-duckietown
  Self-driving car simulator for the Duckietown universe
  ☆79Updated last year
• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆970Updated 6 years ago
• stevenpjg / ddpg-aigym
  Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…
  ☆277Updated 7 years ago
• jachiam / cpo
  Constrained Policy Optimization
  ☆334Updated 8 years ago
• locuslab / mpc.pytorch
  A fast and differentiable model predictive control (MPC) solver for PyTorch.
  ☆1,001Updated last year