Alternatives and similar repositories for gmmil

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

• RuohanW / RED
  Implementation of Random Expert Distillation
  ☆29Updated 6 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 7 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆44Updated 7 years ago
• TianhongDai / self-imitation-learning-pytorch
  This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
  ☆68Updated 7 years ago
• DartML / PPO-Stein-Control-Variate
  Proximal Policy Optimization with Stein Control Variates:
  ☆33Updated 7 years ago
• largelymfs / svpg_REINFORCE
  Stein Variational Policy Gradient for REINFORCE
  ☆18Updated 8 years ago
• whyjay / curiosity-bottleneck
  Repository for our ICML 2019 paper: Curiosity-Bottleneck
  ☆34Updated 3 years ago
• facebookresearch / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆93Updated 6 years ago
• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆79Updated 6 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• tgangwani / SelfImitationDiverse
  Tensorflow code for "Learning Self-Imitating Diverse Policies" (ICLR 2019)
  ☆20Updated 5 years ago
• itaicaspi / mgail
  Model-Based Generative Adversarial Imitation Learning
  ☆89Updated 4 years ago
• russellmendonca / maesn_suite
  ☆44Updated 7 years ago
• mcmachado / options
  ☆43Updated 8 years ago
• wensun / Imitation-Learning-from-Observation
  ☆23Updated 2 years ago
• pathak22 / exploration-by-disagreement
  [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement
  ☆129Updated 6 years ago
• Breakend / DeepReinforcementLearningThatMatters
  Accompanying code for "Deep Reinforcement Learning that Matters"
  ☆154Updated 8 years ago
• jeanharb / a2oc_delib
  A3C style Option-Critic with deliberation cost
  ☆39Updated 7 years ago
• junhyukoh / value-prediction-network
  NIPS 2017 Value Prediction Network
  ☆166Updated 7 years ago
• maximilianigl / DVRL
  Deep Variational Reinforcement Learning
  ☆138Updated 3 years ago
• wyndwarrior / Sectar
  Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
  ☆96Updated 7 years ago
• roosephu / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆55Updated 6 years ago
• youngwoon / transition
  Official code for the paper "Learning Transition Policies for Composing Complex Skills" (ICLR 2019)
  ☆74Updated 6 years ago
• ethanluoyc / e2c-pytorch
  E2C implementation in PyTorch
  ☆43Updated 8 years ago
• NoListen / ERL
  Exploration based Reinforcement Learning. (Montezuma Revenge)
  ☆14Updated 7 years ago
• pokaxpoka / netrand
  Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020
  ☆56Updated 5 years ago
• haoliuhl / taming-maml
  Taming MAML: efficient unbiased meta-reinforcement learning
  ☆30Updated 3 years ago
• quanvuong / Supervised_Policy_Update
  Code to reproduce Supervised Policy Update (ICLR 2019)
  ☆17Updated 3 years ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆34Updated 5 years ago
• RomainLaroche / SPIBB
  Safe Policy Improvement with Baseline Bootstrapping
  ☆26Updated 5 years ago