Alternatives and similar repositories for Arena-BuildingToolkit

Users that are interested in Arena-BuildingToolkit are comparing it to the libraries listed below

• YuhangSong / Arena-Baselines
  Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.
  ☆103Updated 6 months ago
• jcwleo / curiosity-driven-exploration-pytorch
  Curiosity-driven Exploration by Self-supervised Prediction
  ☆141Updated 2 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆72Updated 8 years ago
• kandouss / marlgrid
  Gridworld for MARL experiments
  ☆142Updated 4 years ago
• mengf1 / DHER
  DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)
  ☆66Updated 5 years ago
• neka-nat / distributed_rl
  Pytorch implementation of distributed deep reinforcement learning
  ☆76Updated 3 years ago
• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆96Updated 3 years ago
• andrew-j-levy / Hierarchical-Actor-Critc-HAC-
  This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.
  ☆262Updated 5 years ago
• kngwyu / Rainy
  Deep RL agents with PyTorch
  ☆35Updated 4 years ago
• TonghanWang / ROMA
  Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)
  ☆162Updated 2 years ago
• vitchyr / multiworld
  Multitask Environments for RL
  ☆280Updated 4 years ago
• adik993 / ppo-pytorch
  Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
  ☆147Updated 6 years ago
• Farama-Foundation / D4RL-Evaluations
  ☆201Updated 2 years ago
• navneet-nmk / Hierarchical-Meta-Reinforcement-Learning
  This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.
  ☆62Updated 6 years ago
• ben-eysenbach / sac
  Soft Actor-Critic
  ☆154Updated 7 years ago
• louiskirsch / metagenrl
  MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…
  ☆67Updated 5 years ago
• ewanlee / ICLR2019-RL-Papers
  The Reinforcement-Learning-Related Papers of ICLR 2019
  ☆47Updated 6 years ago
• ArnaudFickinger / gym-multigrid
  Lightweight multi-agent gridworld Gym environment
  ☆210Updated 2 years ago
• tesslerc / GAC
  Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"
  ☆22Updated 5 years ago
• tjuHaoXiaotian / GASIL
  Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems
  ☆32Updated 6 years ago
• facebookresearch / CollaQ
  A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"
  ☆130Updated 2 years ago
• wwxFromTju / deepmind_MAS_enviroment
  some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…
  ☆129Updated 2 years ago
• lcswillems / torch-ac
  Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
  ☆205Updated 2 years ago
• wendelinboehmer / dcg
  ☆78Updated last year
• ac-93 / soft-actor-critic
  Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.
  ☆97Updated 5 years ago
• qian18long / epciclr2020
  ☆122Updated 2 years ago
• jcwleo / random-network-distillation-pytorch
  Random Network Distillation pytorch
  ☆252Updated 6 years ago
• schatty / oprl
  A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing
  ☆134Updated last month
• quanvuong / handful-of-trials-pytorch
  Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
  ☆193Updated 2 years ago
• facebookresearch / impact-driven-exploration
  impact-driven-exploration
  ☆132Updated 2 years ago