Alternatives and similar repositories for mlsh

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

• openai / multiagent-competition
  Code for the paper "Emergent Complexity via Multi-agent Competition"
  ☆827Updated 2 years ago
• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆970Updated 6 years ago
• google-deepmind / pycolab
  A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning ag…
  ☆663Updated 6 years ago
• openai / imitation
  Code for the paper "Generative Adversarial Imitation Learning"
  ☆727Updated 7 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
• openai / large-scale-curiosity
  Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
  ☆832Updated 4 years ago
• openai / random-network-distillation
  Code for the paper "Exploration by Random Network Distillation"
  ☆922Updated 5 years ago
• openai / vime
  Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"
  ☆350Updated 7 years ago
• joschu / modular_rl
  Implementation of TRPO and related algorithms
  ☆641Updated 7 years ago
• openai / gym-soccer
  ☆305Updated 2 years ago
• awjuliani / Meta-RL
  Implementation of Meta-RL A3C algorithm
  ☆405Updated 8 years ago
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆658Updated 5 years ago
• pathak22 / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆1,465Updated 2 years ago
• MultiAgentLearning / playground
  PlayGround: AI Research into Multi-Agent Learning.
  ☆774Updated last year
• miyosuda / unreal
  Reinforcement learning with unsupervised auxiliary tasks
  ☆423Updated 6 years ago
• iassael / learning-to-communicate
  Learning to Communicate with Deep Multi-Agent Reinforcement Learning
  ☆440Updated 6 years ago
• pat-coady / trpo
  Trust Region Policy Optimization with TensorFlow and OpenAI Gym
  ☆360Updated 5 years ago
• miyosuda / async_deep_reinforce
  Asynchronous Methods for Deep Reinforcement Learning
  ☆591Updated 7 years ago
• haarnoja / softqlearning
  Reinforcement Learning with Deep Energy-Based Policies
  ☆433Updated last year
• inoryy / reaver
  Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
  ☆562Updated 5 years ago
• modestyachts / ARS
  An implementation of the Augmented Random Search algorithm
  ☆425Updated 4 years ago
• openai / atari-py
  A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface
  ☆388Updated 2 years ago
• muupan / async-rl
  Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)
  ☆408Updated 8 years ago
• openai / universe-starter-agent
  A starter agent that can solve a number of universe environments.
  ☆1,103Updated 7 years ago
• openai / evolution-strategies-starter
  Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
  ☆1,613Updated 6 years ago
• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,121Updated 8 years ago
• openai / coinrun
  Code for the paper "Quantifying Transfer in Reinforcement Learning"
  ☆405Updated 2 years ago
• openai / EPG
  Code for the paper "Evolved Policy Gradients"
  ☆254Updated 7 years ago
• dgriff777 / rl_a3c_pytorch
  A3C LSTM Atari with Pytorch plus A3G design
  ☆571Updated 2 years ago
• google-deepmind / dqn
  Lua/Torch implementation of DQN (Nature, 2015)
  ☆619Updated 8 years ago