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"
  ☆615Updated last year
• MultiAgentLearning / playground
  PlayGround: AI Research into Multi-Agent Learning.
  ☆772Updated last year
• google-deepmind / scalable_agent
  A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
  ☆1,006Updated 6 years ago
• pathak22 / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆1,439Updated 2 years ago
• openai / random-network-distillation
  Code for the paper "Exploration by Random Network Distillation"
  ☆901Updated 4 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
• openai / large-scale-curiosity
  Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
  ☆819Updated 3 years ago
• openai / imitation
  Code for the paper "Generative Adversarial Imitation Learning"
  ☆713Updated 6 years ago
• google-deepmind / dqn
  Lua/Torch implementation of DQN (Nature, 2015)
  ☆602Updated 8 years ago
• joschu / modular_rl
  Implementation of TRPO and related algorithms
  ☆632Updated 7 years ago
• openai / atari-py
  A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface
  ☆381Updated 2 years ago
• geek-ai / MAgent
  A Platform for Many-Agent Reinforcement Learning
  ☆1,741Updated 2 years ago
• haarnoja / softqlearning
  Reinforcement Learning with Deep Energy-Based Policies
  ☆427Updated last year
• openai / evolution-strategies-starter
  Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
  ☆1,590Updated 5 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
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆657Updated 5 years ago
• openai / coinrun
  Code for the paper "Quantifying Transfer in Reinforcement Learning"
  ☆398Updated last year
• openai / gym-soccer
  ☆303Updated 2 years ago
• inoryy / reaver
  Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
  ☆558Updated 4 years ago
• 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
• araffin / rl-baselines-zoo
  A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
  ☆1,181Updated 2 years ago
• openai / universe-starter-agent
  A starter agent that can solve a number of universe environments.
  ☆1,099Updated 7 years ago
• pat-coady / trpo
  Trust Region Policy Optimization with TensorFlow and OpenAI Gym
  ☆361Updated 5 years ago
• sisl / MADRL
  Repo containing code for multi-agent deep reinforcement learning (MADRL).
  ☆703Updated 2 years ago
• iassael / learning-to-communicate
  Learning to Communicate with Deep Multi-Agent Reinforcement Learning
  ☆437Updated 6 years ago
• tambetm / simple_dqn
  Simple deep Q-learning agent.
  ☆700Updated 6 years ago
• uber-research / go-explore
  Code for Go-Explore: a New Approach for Hard-Exploration Problems
  ☆573Updated 2 years ago
• openai / gym-http-api
  API to access OpenAI Gym from other languages via HTTP
  ☆294Updated 2 years ago
• hardmaru / WorldModelsExperiments
  World Models Experiments
  ☆649Updated 2 years ago