Alternatives and similar repositories for adaptiveSystems

Users that are interested in adaptiveSystems are comparing it to the libraries listed below

• cjm715 / mgym
  A collection of multi-agent reinforcement learning OpenAI gym environments
  ☆46Updated 5 years ago
• tegg89 / magnet
  MAGNet: Multi-agents control using Graph Neural Networks
  ☆132Updated 6 years ago
• ewanlee / ICLR2019-RL-Papers
  The Reinforcement-Learning-Related Papers of ICLR 2019
  ☆48Updated 6 years ago
• schroederdewitt / mackrl
  Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)
  ☆33Updated 6 years ago
• intel / cerl
  ☆71Updated 3 years ago
• jonasrothfuss / model_ensemble_meta_learning
  Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
  ☆44Updated 7 years ago
• cap-ntu / baconian-project
  Model-based Reinforcement Learning Framework
  ☆115Updated 5 years ago
• ArmaanSethi / Hindsight-Experience-Replay-and-Hierarchical-Reinforcement-Learning
  Comp 781 Project
  ☆10Updated 3 weeks ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 6 years ago
• hari-sikchi / safeRL
  Safe Reinforcement Learning algorithms
  ☆75Updated 3 years ago
• xlnwel / model-free-algorithms
  TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x
  ☆62Updated 4 years ago
• ASzot / ppo-pytorch
  Proximal policy optimization in PyTorch. Easy to read and understand.
  ☆51Updated 5 years ago
• Miffyli / rl-action-space-shaping
  Experiment code for testing effect of various action space transformations in reinforcement learning
  ☆30Updated 5 years ago
• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆95Updated 3 years ago
• mila-iqia / Conscious-Planning
  Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".
  ☆60Updated last year
• jparkerholder / DvD_ES
  Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…
  ☆44Updated 5 years ago
• dongminlee94 / Reinforcement-Learning-Code
  A repository for code of reinforcement learning algorithms with PyTorch
  ☆30Updated 4 years ago
• johannah / bootstrap_dqn
  Implementation of Bootstrap DQN and Randomized Prior Functions on ALE
  ☆56Updated 10 months ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆74Updated 8 years ago
• ying-wen / malib_deprecated
  A Multi-agent Learning Framework
  ☆62Updated 4 years ago
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆107Updated 4 years ago
• ermongroup / MetaIRL
  Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
  ☆76Updated 2 years ago
• cyoon1729 / distributedRL
  A framework for easy prototyping of distributed reinforcement learning algorithms
  ☆96Updated 5 years ago
• rmst / rtrl
  PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)
  ☆76Updated 5 years ago
• BY571 / Munchausen-RL
  PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN
  ☆45Updated 5 years ago
• YuhangSong / Arena-Baselines
  Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.
  ☆103Updated 10 months ago
• wyjung0625 / p3s
  Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning
  ☆22Updated 6 years ago
• gopala-kr / DRL-Agents
  research and implementations of Deep RL agents and their applications
  ☆59Updated 4 months ago
• apourchot / CEM-RL
  Combining Evolutionary Algorithms and deep RL in various ways
  ☆107Updated 5 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 5 years ago