Alternatives and similar repositories for mlsh:

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

• google-deepmind / scalable_agent
  A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
  ☆999Updated 6 years ago
• openai / imitation
  Code for the paper "Generative Adversarial Imitation Learning"
  ☆702Updated 6 years ago
• openai / multiagent-competition
  Code for the paper "Emergent Complexity via Multi-agent Competition"
  ☆811Updated last year
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆659Updated 5 years ago
• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆967Updated 6 years ago
• miyosuda / async_deep_reinforce
  Asynchronous Methods for Deep Reinforcement Learning
  ☆590Updated 6 years ago
• awjuliani / Meta-RL
  Implementation of Meta-RL A3C algorithm
  ☆402Updated 8 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…
  ☆658Updated 5 years ago
• iassael / learning-to-communicate
  Learning to Communicate with Deep Multi-Agent Reinforcement Learning
  ☆438Updated 6 years ago
• pathak22 / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆1,425Updated 2 years ago
• miyosuda / unreal
  Reinforcement learning with unsupervised auxiliary tasks
  ☆418Updated 6 years ago
• joschu / modular_rl
  Implementation of TRPO and related algorithms
  ☆627Updated 6 years ago
• openai / large-scale-curiosity
  Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
  ☆810Updated 3 years ago
• openai / random-network-distillation
  Code for the paper "Exploration by Random Network Distillation"
  ☆892Updated 4 years ago
• haarnoja / softqlearning
  Reinforcement Learning with Deep Energy-Based Policies
  ☆419Updated last year
• openai / vime
  Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"
  ☆342Updated 6 years ago
• muupan / async-rl
  Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)
  ☆403Updated 8 years ago
• openai / universe-starter-agent
  A starter agent that can solve a number of universe environments.
  ☆1,097Updated 6 years ago
• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,106Updated 7 years ago
• MultiAgentLearning / playground
  PlayGround: AI Research into Multi-Agent Learning.
  ☆768Updated last year
• worldmodels / worldmodels.github.io
  World Models
  ☆443Updated 4 years ago
• openai / robosumo
  Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"
  ☆306Updated last year
• ml-jku / baselines-rudder
  RUDDER for ATARI games with delayed rewards in OpenAI Baselines package
  ☆266Updated 5 years ago
• openai / EPG
  Code for the paper "Evolved Policy Gradients"
  ☆250Updated 6 years ago
• pat-coady / trpo
  Trust Region Policy Optimization with TensorFlow and OpenAI Gym
  ☆362Updated 4 years ago
• junhyukoh / self-imitation-learning
  ICML 2018 Self-Imitation Learning
  ☆275Updated 4 years ago
• inoryy / reaver
  Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
  ☆556Updated 4 years ago
• Kaixhin / Atari
  Persistent advantage learning dueling double DQN for the Arcade Learning Environment
  ☆264Updated 7 years ago
• steveKapturowski / tensorflow-rl
  Implementations of deep RL papers and random experimentation
  ☆177Updated 6 years ago
• google-deepmind / spriteworld
  Spriteworld: a flexible, configurable python-based reinforcement learning environment
  ☆370Updated 4 years ago