Alternatives and similar repositories for atari-demo:

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

• openai / retro-contest
  OpenAI Retro Contest
  ☆65Updated last year
• openai / gym-recording
  Add-on package to gym, to record sequences of actions, observations, and rewards
  ☆72Updated last year
• openai / understanding-rl-vision
  Code for the paper "Understanding RL Vision"
  ☆46Updated last year
• openai / sonic-on-ray
  Training Sonic with RLlib
  ☆58Updated last year
• openai / atari-reset
  Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"
  ☆197Updated 6 years ago
• openai / gym-wikinav
  Wikipedia navigation environment for OpenAI Gym
  ☆40Updated last year
• openai / ppo-ewma
  Code for the paper "Batch size invariance for policy optimization"
  ☆48Updated last year
• jachiam / surprise
  Surprise-based intrinsic motivation for deep reinforcement learning
  ☆20Updated 7 years ago
• openai / train-procgen
  Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"
  ☆170Updated last year
• openai / retro-baselines
  Publicly releasable baselines for the Retro contest
  ☆127Updated 6 years ago
• openai / retro-movies
  ☆27Updated 6 years ago
• openai / gym3
  Vectorized interface for reinforcement learning environments
  ☆139Updated last year
• openai / baselines-results
  ☆117Updated 4 years ago
• google-deepmind / dm_hard_eight
  ☆85Updated 4 years ago
• openai / robosumo
  Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"
  ☆305Updated last year
• pathak22 / exploration-by-disagreement
  [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement
  ☆123Updated 5 years ago
• DartML / PPO-Stein-Control-Variate
  Proximal Policy Optimization with Stein Control Variates:
  ☆33Updated 7 years ago
• pathak22 / modular-assemblies
  [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"
  ☆116Updated 5 years ago
• jeanharb / a2oc_delib
  A3C style Option-Critic with deliberation cost
  ☆39Updated 7 years ago
• alshedivat / lola
  Code release for Learning with Opponent-Learning Awareness and variations.
  ☆146Updated last year
• junhyukoh / icml2016-minecraft
  Implementation of "Control of Memory, Active Perception, and Action in Minecraft"
  ☆86Updated 8 years ago
• google-research / episodic-curiosity
  Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability
  ☆203Updated 4 years ago
• facebookresearch / adversarially-motivated-intrinsic-goals
  This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
  ☆61Updated last year
• louiskirsch / metagenrl
  MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…
  ☆67Updated 4 years ago
• Nat-D / FeatureControlHRL
  Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
  ☆80Updated 7 years ago
• google-research / pisac
  Tensorflow 2 source code for the PI-SAC agent from "Predictive Information Accelerates Learning in RL" (NeurIPS 2020)
  ☆44Updated last year
• edbeeching / 3d_control_deep_rl
  Baselines and memory-based scenarios for the ViZDoom simulator
  ☆34Updated 2 years ago
• LiubovSobolevskaya / tf2-a2c-ppo
  mplementation of Advantage Actor Critic (A2C) and Proximal Policy Optimization Algorithm (PPO) use the advantages of Tensorflow 2.x.
  ☆9Updated 4 years ago
• openai / EPG
  Code for the paper "Evolved Policy Gradients"
  ☆249Updated 6 years ago
• openai / signup-forms
  Code for the paper "World of Bits: An Open-Domain Platform for Web-Based Agents"
  ☆29Updated 6 years ago