crowdAI / marlo-multi-agent-starter-kit

Related projects ⓘ

Alternatives and complementary repositories for marlo-multi-agent-starter-kit

• takuseno / d4rl-pybullet
  Datasets for data-driven deep reinforcement learning with PyBullet environments
  ☆143Updated 3 years ago
• crowdAI / marlo-single-agent-starter-kit
  Round 1 Starter Kit for the MarLo challenge
  ☆20Updated 6 years ago
• zuoxingdong / dm2gym
  Convert DeepMind Control Suite to OpenAI gym environments.
  ☆83Updated 4 years ago
• 0xangelo / raylab
  Reinforcement learning algorithms in RLlib
  ☆56Updated 6 months ago
• flowersteam / geppg
  ☆35Updated 6 years ago
• hardmaru / astool
  Augmented environments with RL
  ☆102Updated 5 years ago
• intel / cerl
  ☆72Updated last year
• 0b01 / CommNet
  PyTorch implementation of CommNet
  ☆36Updated 6 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆66Updated 6 years ago
• chainer / chainerrl-visualizer
  ☆53Updated last year
• lnpalmer / PPO
  PyTorch implementation of Proximal Policy Optimization
  ☆50Updated 6 years ago
• Officium / RL-Experiments
  High-quality implementations of deep reinforcement learning algorithms for experiments
  ☆51Updated 2 months ago
• Kaixhin / spinning-up-basic
  Basic versions of agents from Spinning Up in Deep RL written in PyTorch
  ☆197Updated 3 years ago
• facebookresearch / rela
  Reinforcement Learning Assembly
  ☆92Updated 3 years ago
• google-research / world_models
  ☆116Updated last year
• instadeepai / fastpbrl
  Vectorization techniques for fast population-based training.
  ☆54Updated 2 years ago
• sunblaze-ucb / rl-generalization
  Modifiable OpenAI Gym environments for studying generalization in RL
  ☆86Updated 5 years ago
• facebookresearch / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆93Updated 5 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆50Updated 5 years ago
• Sohojoe / ppo-dash
  PPO Dash: Improving Generalization in Deep Reinforcement Learning
  ☆16Updated 5 years ago
• facebookresearch / mtenv
  MultiTask Environments for Reinforcement Learning.
  ☆74Updated 2 years ago
• cjm715 / mgym
  A collection of multi-agent reinforcement learning OpenAI gym environments
  ☆44Updated 4 years ago
• neka-nat / distributed_rl
  Pytorch implementation of distributed deep reinforcement learning
  ☆74Updated 2 years ago
• BorealisAI / pommerman-baseline
  Code for the paper "Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition"
  ☆37Updated 5 years ago
• matsuolab / BREMEN
  Codebase of Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization (ICLR2021)
  ☆51Updated 3 years ago
• facebookresearch / hanabi_SAD
  Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
  ☆97Updated 2 years ago
• rwightman / pytorch-pommerman-rl
  PyTorch RL for Pommerman
  ☆38Updated 6 years ago
• Stable-Baselines-Team / stable-baselines-tf2
  [Experimental] TensorFlow 2 version of stable-baselines, temporary repository
  ☆45Updated 4 years ago
• rddy / ReQueST
  Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"
  ☆83Updated 4 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆70Updated 7 years ago