Alternatives and similar repositories for modeling_long_term_future

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

• shagunsodhani / memory-augmented-self-play
  PyTorch implementation of Memory Augmented Self-Play
  ☆52Updated 5 years ago
• TianhongDai / self-imitation-learning-pytorch
  This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
  ☆66Updated 7 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆44Updated 7 years ago
• facebookresearch / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆93Updated 6 years ago
• senya-ashukha / quantile-regression-dqn-pytorch
  A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
  ☆97Updated 5 years ago
• facebookresearch / td-delta
  Separating value functions across time-scales.
  ☆17Updated 6 years ago
• ethanluoyc / e2c-pytorch
  E2C implementation in PyTorch
  ☆43Updated 8 years ago
• facebookresearch / measuring-emergent-comm
  On the pitfalls of measuring emergent communication
  ☆34Updated 6 years ago
• dai-dao / PPO-Pytorch
  Implementation of PPO in Pytorch
  ☆41Updated 7 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆51Updated 6 years ago
• hiwonjoon / NEC
  Implementation of Neural Episodic Control in Tensorflow
  ☆27Updated 6 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 7 years ago
• cle-ros / RoutingNetworks
  ☆67Updated 5 years ago
• facebookresearch / M3RL
  Mind-aware Multi-agent Management Reinforcement Learning
  ☆81Updated 6 years ago
• mfranzs / meta-learning-curiosity-algorithms
  ☆80Updated 2 years ago
• Sha-Lab / SynPo
  Code Released for NeurIPS 2018 paper: Synthesized Policies for Transfer and Adaptation across Tasks and Environments
  ☆16Updated 6 years ago
• chenxy99 / Generative-Temporal-Models-with-Spatial-Memory
  Reimplementation code for the paper "Generative Temporal Models with Spatial Memory for Partially Observed Environments"
  ☆29Updated 3 years ago
• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆34Updated 2 years ago
• joelouismarino / iterative_inference
  Implementation of iterative inference in deep latent variable models
  ☆43Updated 6 years ago
• StanfordVL / ac-teach
  Code for the CoRL 2019 paper AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers
  ☆24Updated 2 years ago
• flowersteam / geppg
  ☆35Updated 7 years ago
• nhynes / abc
  SeqGAN but with more bells and whistles
  ☆24Updated 7 years ago
• Feryal / craft-env
  ☆44Updated 6 years ago
• Kaixhin / Dist-A3C
  Distributed A3C
  ☆34Updated 7 years ago
• alexis-jacq / LOLA_DiCE
  Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)
  ☆96Updated 7 years ago
• wlwkgus / NoisyNaturalGradient
  Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"
  ☆121Updated 7 years ago
• RuohanW / RED
  Implementation of Random Expert Distillation
  ☆29Updated 6 years ago
• Shallow-Updates-for-Deep-RL / Shallow_Updates_for_Deep_RL
  Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"
  ☆18Updated 8 years ago
• thanard / causal-infogan
  ☆85Updated 6 years ago
• flowersteam / Curiosity_Driven_Goal_Exploration
  Code to reproduce the results of "Curiosity Driven Exploration of Learned Disentangled Goal Spaces"
  ☆19Updated 7 years ago