Alternatives and similar repositories for atari-py:

Users that are interested in atari-py are comparing it to the libraries listed below

• openai / coinrun
  Code for the paper "Quantifying Transfer in Reinforcement Learning"
  ☆399Updated last year
• openai / gym-soccer
  ☆303Updated 2 years ago
• uber-research / go-explore
  Code for Go-Explore: a New Approach for Hard-Exploration Problems
  ☆562Updated 2 years ago
• google-deepmind / dqn
  Lua/Torch implementation of DQN (Nature, 2015)
  ☆595Updated 7 years ago
• openai / robosumo
  Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"
  ☆307Updated last year
• lcswillems / rl-starter-files
  RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
  ☆677Updated 10 months ago
• pat-coady / trpo
  Trust Region Policy Optimization with TensorFlow and OpenAI Gym
  ☆362Updated 4 years ago
• openai / random-network-distillation
  Code for the paper "Exploration by Random Network Distillation"
  ☆892Updated 4 years ago
• MattChanTK / gym-maze
  A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.
  ☆363Updated last year
• openai / imitation
  Code for the paper "Generative Adversarial Imitation Learning"
  ☆706Updated 6 years ago
• joschu / modular_rl
  Implementation of TRPO and related algorithms
  ☆627Updated 6 years ago
• google-research / batch_rl
  Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games
  ☆547Updated last year
• mrahtz / learning-from-human-preferences
  Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"
  ☆317Updated 3 years ago
• openai / large-scale-curiosity
  Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
  ☆813Updated 3 years ago
• stevenpjg / ddpg-aigym
  Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…
  ☆274Updated 7 years ago
• Shmuma / ptan
  PyTorch Agent Net: reinforcement learning toolkit for pytorch
  ☆541Updated 5 months ago
• jaromiru / AI-blog
  Accompanying repository for Let's make a DQN / A3C series.
  ☆393Updated 6 years ago
• ppaquette / gym-super-mario
  Gym - 32 levels of original Super Mario Bros
  ☆288Updated 6 years ago
• google-deepmind / dqn_zoo
  DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…
  ☆470Updated 11 months ago
• openai / safety-gym
  Tools for accelerating safe exploration research.
  ☆523Updated 2 years ago
• openai / atari-reset
  Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"
  ☆197Updated 6 years ago
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆657Updated 5 years ago
• openai / EPG
  Code for the paper "Evolved Policy Gradients"
  ☆250Updated 6 years ago
• chainer / chainerrl
  ChainerRL is a deep reinforcement learning library built on top of Chainer.
  ☆1,187Updated 3 years ago
• araffin / rl-baselines-zoo
  A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
  ☆1,164Updated 2 years ago
• LARG / HFO
  Half Field Offense in Robocup 2D Soccer
  ☆231Updated 2 years ago
• pathak22 / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆1,427Updated 2 years ago
• google-deepmind / scalable_agent
  A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
  ☆1,001Updated 6 years ago
• openai / mlsh
  Code for the paper "Meta-Learning Shared Hierarchies"
  ☆611Updated last year
• crowdAI / marLo
  Multi Agent Reinforcement Learning using MalmÖ
  ☆250Updated 4 years ago