Alternatives and similar repositories for multiagent-competition

Users that are interested in multiagent-competition are comparing it to the libraries listed below

• openai / mlsh
  Code for the paper "Meta-Learning Shared Hierarchies"
  ☆619Updated 2 years ago
• openai / large-scale-curiosity
  Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
  ☆832Updated 4 years ago
• MultiAgentLearning / playground
  PlayGround: AI Research into Multi-Agent Learning.
  ☆774Updated last year
• pathak22 / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆1,465Updated 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 / random-network-distillation
  Code for the paper "Exploration by Random Network Distillation"
  ☆922Updated 5 years ago
• google-deepmind / dqn
  Lua/Torch implementation of DQN (Nature, 2015)
  ☆619Updated 8 years ago
• openai / gym-soccer
  ☆305Updated 2 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
• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆970Updated 6 years ago
• openai / imitation
  Code for the paper "Generative Adversarial Imitation Learning"
  ☆727Updated 7 years ago
• openai / atari-py
  A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface
  ☆388Updated 2 years ago
• joschu / modular_rl
  Implementation of TRPO and related algorithms
  ☆641Updated 7 years ago
• openai / universe-starter-agent
  A starter agent that can solve a number of universe environments.
  ☆1,103Updated 7 years ago
• inoryy / reaver
  Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
  ☆562Updated 5 years ago
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆658Updated 5 years ago
• google-deepmind / hanabi-learning-environment
  hanabi_learning_environment is a research platform for Hanabi experiments.
  ☆656Updated 2 years ago
• openai / evolution-strategies-starter
  Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
  ☆1,613Updated 6 years ago
• google-deepmind / ai-safety-gridworlds
  This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.
  ☆617Updated 3 years ago
• hardmaru / estool
  Evolution Strategies Tool
  ☆953Updated 2 years ago
• jaromiru / AI-blog
  Accompanying repository for Let's make a DQN / A3C series.
  ☆395Updated 7 years ago
• pat-coady / trpo
  Trust Region Policy Optimization with TensorFlow and OpenAI Gym
  ☆360Updated 5 years ago
• crowdAI / marLo
  Multi Agent Reinforcement Learning using MalmÖ
  ☆263Updated 5 years ago
• geek-ai / MAgent
  A Platform for Many-Agent Reinforcement Learning
  ☆1,749Updated 3 years ago
• hardmaru / WorldModelsExperiments
  World Models Experiments
  ☆669Updated 3 years ago
• uber-research / go-explore
  Code for Go-Explore: a New Approach for Hard-Exploration Problems
  ☆578Updated 2 years ago
• openai / coinrun
  Code for the paper "Quantifying Transfer in Reinforcement Learning"
  ☆405Updated 2 years ago
• haarnoja / softqlearning
  Reinforcement Learning with Deep Energy-Based Policies
  ☆433Updated last year
• uber-research / deep-neuroevolution
  Deep Neuroevolution
  ☆1,659Updated last year
• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,121Updated 8 years ago