Alternatives and similar repositories for evolution-strategies-starter

Users that are interested in evolution-strategies-starter are comparing it to the libraries listed below

• uber-research / deep-neuroevolution
  Deep Neuroevolution
  ☆1,651Updated last year
• rll / rllab
  rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
  ☆2,973Updated 2 years ago
• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆969Updated 6 years ago
• pathak22 / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆1,439Updated 2 years ago
• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,110Updated 7 years ago
• tensorforce / tensorforce
  Tensorforce: a TensorFlow library for applied reinforcement learning
  ☆3,311Updated 10 months ago
• hardmaru / estool
  Evolution Strategies Tool
  ☆951Updated 2 years ago
• google-deepmind / scalable_agent
  A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
  ☆1,005Updated 6 years ago
• google-deepmind / trfl
  TensorFlow Reinforcement Learning
  ☆3,137Updated 2 years ago
• openai / universe-starter-agent
  A starter agent that can solve a number of universe environments.
  ☆1,100Updated 7 years ago
• joschu / modular_rl
  Implementation of TRPO and related algorithms
  ☆632Updated 7 years ago
• openai / multiagent-competition
  Code for the paper "Emergent Complexity via Multi-agent Competition"
  ☆816Updated 2 years ago
• carpedm20 / deep-rl-tensorflow
  TensorFlow implementation of Deep Reinforcement Learning papers
  ☆1,586Updated 7 years ago
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆657Updated 5 years ago
• openai / mlsh
  Code for the paper "Meta-Learning Shared Hierarchies"
  ☆616Updated last year
• google-deepmind / dqn
  Lua/Torch implementation of DQN (Nature, 2015)
  ☆602Updated 8 years ago
• tambetm / simple_dqn
  Simple deep Q-learning agent.
  ☆700Updated 6 years ago
• openai / large-scale-curiosity
  Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
  ☆819Updated 3 years ago
• IntelLabs / coach
  Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
  ☆2,348Updated 2 years ago
• devsisters / DQN-tensorflow
  Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
  ☆2,538Updated 6 years ago
• Farama-Foundation / Arcade-Learning-Environment
  The Arcade Learning Environment (ALE) -- a platform for AI research.
  ☆2,302Updated last week
• geek-ai / MAgent
  A Platform for Many-Agent Reinforcement Learning
  ☆1,740Updated 2 years ago
• openai / random-network-distillation
  Code for the paper "Exploration by Random Network Distillation"
  ☆900Updated 4 years ago
• VinF / deer
  DEEp Reinforcement learning framework
  ☆485Updated last year
• miyosuda / async_deep_reinforce
  Asynchronous Methods for Deep Reinforcement Learning
  ☆591Updated 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 5 years ago
• awjuliani / DeepRL-Agents
  A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
  ☆2,250Updated 6 years ago
• Kaixhin / Rainbow
  Rainbow: Combining Improvements in Deep Reinforcement Learning
  ☆1,630Updated 3 years ago
• openai / imitation
  Code for the paper "Generative Adversarial Imitation Learning"
  ☆712Updated 6 years ago
• google-deepmind / bsuite
  bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
  ☆1,523Updated last year