Alternatives and similar repositories for noreward-rl

Users that are interested in noreward-rl are comparing it to the libraries listed below

• openai / random-network-distillation
  Code for the paper "Exploration by Random Network Distillation"
  ☆924Updated 5 years ago
• openai / large-scale-curiosity
  Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
  ☆831Updated 4 years ago
• Kaixhin / Rainbow
  Rainbow: Combining Improvements in Deep Reinforcement Learning
  ☆1,659Updated 3 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
• google-deepmind / scalable_agent
  A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
  ☆1,014Updated 6 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
• geek-ai / MAgent
  A Platform for Many-Agent Reinforcement Learning
  ☆1,751Updated 3 years ago
• MultiAgentLearning / playground
  PlayGround: AI Research into Multi-Agent Learning.
  ☆774Updated last year
• openai / evolution-strategies-starter
  Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
  ☆1,616Updated 6 years ago
• google-deepmind / dqn
  Lua/Torch implementation of DQN (Nature, 2015)
  ☆618Updated 8 years ago
• openai / imitation
  Code for the paper "Generative Adversarial Imitation Learning"
  ☆727Updated 7 years ago
• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆970Updated 6 years ago
• joschu / modular_rl
  Implementation of TRPO and related algorithms
  ☆642Updated 7 years ago
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆661Updated 5 years ago
• openai / mlsh
  Code for the paper "Meta-Learning Shared Hierarchies"
  ☆618Updated 2 years ago
• dgriff777 / rl_a3c_pytorch
  A3C LSTM Atari with Pytorch plus A3G design
  ☆570Updated 2 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
• ikostrikov / pytorch-a3c
  PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
  ☆1,303Updated 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
• kengz / SLM-Lab
  Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
  ☆1,320Updated this week
• araffin / rl-baselines-zoo
  A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
  ☆1,190Updated 3 years ago
• inoryy / reaver
  Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
  ☆562Updated 5 years ago
• chainer / chainerrl
  ChainerRL is a deep reinforcement learning library built on top of Chainer.
  ☆1,199Updated 4 years ago
• uber-research / deep-neuroevolution
  Deep Neuroevolution
  ☆1,659Updated last year
• hardmaru / WorldModelsExperiments
  World Models Experiments
  ☆672Updated 3 years ago
• google-research / planet
  Learning Latent Dynamics for Planning from Pixels
  ☆1,222Updated 2 years ago
• awjuliani / DeepRL-Agents
  A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
  ☆2,267Updated 6 years ago
• astooke / rlpyt
  Reinforcement Learning in PyTorch
  ☆2,270Updated 4 years ago
• pat-coady / trpo
  Trust Region Policy Optimization with TensorFlow and OpenAI Gym
  ☆360Updated 5 years ago