Alternatives and similar repositories for lstm

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

• david-abel / rl_info_theory
  A collection of code investigating the use of information theory for abstractions in RL
  ☆16Updated 6 years ago
• zackchase / intrinsic-fear-dqn
  Avoiding catastrophic failures in reinforcement learning by learning to shape rewards.
  ☆10Updated 7 years ago
• ambujtewari / stats701-winter2021
  Theory of Reinforcement Learning
  ☆16Updated 4 years ago
• ron-amit / meta-learning-adjusting-priors2
  Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018
  ☆18Updated 4 years ago
• LiuShuai26 / Distributed-RL
  Distributed DRL by Ray and TensorFlow Tutorial.
  ☆10Updated 5 years ago
• zixu1986 / Doubly_Stochastic_Gradients
  Code for doubly stochastic gradients
  ☆25Updated 10 years ago
• kimhc6028 / policy-gradient-importance-sampling
  Policy gradient reinforcement learning algorithm with importance sampling
  ☆32Updated 7 years ago
• epignatelli / discovering-reinforcement-learning-algorithms
  A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…
  ☆21Updated 4 years ago
• automl / TempoRL
  ☆16Updated 3 years ago
• Hwhitetooth / jax_muzero
  An implementation of MuZero in JAX.
  ☆56Updated 2 years ago
• google-research / deep_ope
  ☆86Updated 10 months ago
• RobertTLange / spinningup-workspace
  Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.
  ☆38Updated 2 years ago
• prabhatnagarajan / dqn
  This repository contains a python implementation of a Deep Q-Network (DQN) for Atari gameplay using tensorflow.
  ☆6Updated 6 years ago
• nanxintin / deep-reinforcement-learning
  Reinforcement Learning and Deep Learning Resources
  ☆16Updated 7 years ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆28Updated 2 years ago
• dannysdeng / dqn-pytorch
  PyTorch - Implicit Quantile Networks - Quantile Regression - C51
  ☆22Updated 5 years ago
• Feryal / rl_mlss_2020
  ☆53Updated 4 years ago
• wlwkgus / NoisyNaturalGradient
  Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"
  ☆121Updated 6 years ago
• manantomar / Reinforcement-Learning
  Contains implementations of various deep RL algorithms and papers including action conditional video prediction | Python | Tensorflow | O…
  ☆7Updated 8 years ago
• yaroslavvb / kfac_pytorch
  ☆133Updated 7 years ago
• debmandal / RL-Causality
  References at the Intersection of Causality and Reinforcement Learning
  ☆89Updated 4 years ago
• pgermain / PAC-Bayesian-Theory-Meets-Bayesian-Inference
  Code to related to my NIPS 2016 paper
  ☆10Updated 8 years ago
• rlai-lab / Regularized-GradientTD
  Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.
  ☆37Updated 4 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆66Updated 7 years ago
• hotco87 / PyTorch-RL
  DQN, Reinforce, A2C (Reference: https://github.com/pytorch)
  ☆8Updated 6 years ago
• lns / dapo
  Source code for the paper "Divergence-Augmented Policy Optimization"
  ☆37Updated 5 years ago
• dixantmittal / async-dqn
  Asynchronous implementation of DQN algorithm in PyTorch
  ☆8Updated 5 years ago
• maraghuram / I-DQN
  Towards Better Interpretability in Deep Q-Networks (Codebase)
  ☆9Updated 5 years ago
• likemango / DQN-mario-xiaoyao
  Based on PytorchRL tutorials
  ☆8Updated 3 years ago
• Riashat / Bayesian-Exploration-Deep-RL
  Bayesian Uncertainty Exploration in Deep Reinforcement Learning
  ☆18Updated 7 years ago