Alternatives and similar repositories for MultiAgent-ImitationLearning

Users that are interested in MultiAgent-ImitationLearning are comparing it to the libraries listed below

• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆96Updated 3 years ago
• mengf1 / DHER
  DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)
  ☆65Updated 6 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆74Updated 8 years ago
• ewanlee / ICLR2019-RL-Papers
  The Reinforcement-Learning-Related Papers of ICLR 2019
  ☆47Updated 6 years ago
• WilsonWangTHU / POPLIN
  ☆99Updated 2 years ago
• HumanCompatibleAI / population-irl
  (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards
  ☆27Updated 6 years ago
• schroederdewitt / mackrl
  Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)
  ☆33Updated 5 years ago
• ermongroup / multiagent-gail
  ☆84Updated 6 years ago
• HumanCompatibleAI / atari-irl
  ☆28Updated 6 years ago
• TianhongDai / distributed-ppo
  This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).
  ☆63Updated 7 years ago
• ruizhaogit / EnergyBasedPrioritization
  Energy-Based Hindsight Experience Prioritization (CoRL 2018) Oral presentation (7%)
  ☆35Updated 6 years ago
• tesslerc / H-DRLN
  Hierarchical Deep RL Network
  ☆31Updated 8 years ago
• montrealrobotics / active-domainrand
  Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)
  ☆101Updated 4 years ago
• ermongroup / InfoGAIL
  Source code for our NIPS 2017 paper, InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
  ☆42Updated 8 years ago
• ciwang / policydistillation
  Reproducing Policy Distillation (DeepMind paper ICLR 2016)
  ☆22Updated 5 years ago
• wwxFromTju / deepmind_MAS_enviroment
  some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…
  ☆130Updated 2 years ago
• Knoxantropicen / model-based-meta-rl
  Self-implemented code for Model-Based Meta-Reinforcement Learning
  ☆17Updated 6 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 6 years ago
• root-master / unified-hrl
  Unified Model-Free Hierarchical Reinforcement Learning Framework
  ☆38Updated 6 years ago
• hu-po / pySACQ
  PyTorch implementation of SAC-Q Reinforcement Learning Algorithm (tested on OpenAI Gym environments)
  ☆38Updated 4 years ago
• junjungoal / IMPALA-pytorch
  PyTorch IMPALA implementation
  ☆27Updated 6 years ago
• YuhangSong / DEHRL
  Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.
  ☆50Updated 6 years ago
• cap-ntu / baconian-project
  Model-based Reinforcement Learning Framework
  ☆115Updated 5 years ago
• wendelinboehmer / dcg
  ☆78Updated last year
• camigord / DRL_papernotes
  Notes and comments about Deep Reinforcement Learning papers
  ☆77Updated 7 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
• nikhilbarhate99 / Deterministic-GAIL-PyTorch
  PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning
  ☆67Updated 5 years ago
• yilunc2020 / Attention-DQN
  Deep Recurrent Attention Reinforcement Learning in Atari
  ☆82Updated 7 years ago
• maximilianigl / DVRL
  Deep Variational Reinforcement Learning
  ☆137Updated 3 years ago