Alternatives and similar repositories for rudder-a-practical-tutorial

Users that are interested in rudder-a-practical-tutorial are comparing it to the libraries listed below

• ml-jku / rudder
  RUDDER: Return Decomposition for Delayed Rewards
  ☆47Updated 4 years ago
• ml-jku / rudder-demonstration-code
  Code for demonstration example-task in RUDDER blog
  ☆23Updated 5 years ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆75Updated 4 years ago
• microsoft / oac-explore
  Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)
  ☆70Updated last year
• jvmncs / ParamNoise
  A comparison of parameter space noise methods for exploration in deep reinforcement learning
  ☆28Updated 6 years ago
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆34Updated 6 years ago
• hiwonjoon / ICML2019-TREX
  ☆83Updated 4 years ago
• kkhetarpal / ioc
  Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020
  ☆25Updated 4 years ago
• RomainLaroche / SPIBB
  Safe Policy Improvement with Baseline Bootstrapping
  ☆26Updated 5 years ago
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆30Updated 5 years ago
• wendelinboehmer / dcg
  ☆76Updated last year
• joeybose / FloRL
  Implicit Normalizing Flows + Reinforcement Learning
  ☆61Updated 6 years ago
• schroederdewitt / mackrl
  Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)
  ☆33Updated 5 years ago
• RLAgent / state-marginal-matching
  Efficient Exploration via State Marginal Matching (2019)
  ☆69Updated 5 years ago
• louiskirsch / metagenrl
  MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…
  ☆67Updated 5 years ago
• chloechsu / revisiting-ppo
  ☆47Updated 4 years ago
• lns / dapo
  Source code for the paper "Divergence-Augmented Policy Optimization"
  ☆37Updated 5 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆71Updated 8 years ago
• jonasrothfuss / model_ensemble_meta_learning
  Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
  ☆44Updated 6 years ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆31Updated 3 years ago
• thanard / me-trpo
  ☆92Updated last year
• kushagra06 / SAC
  Pytorch implementation of Soft Actor-Critic
  ☆20Updated 5 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• deep-skill-chaining / deep-skill-chaining
  Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"
  ☆29Updated 5 years ago
• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆95Updated 2 years ago
• ppocma / ppocma
  ☆72Updated 6 years ago
• siekmanj / r2l
  Recurrent continuous reinforcement learning algorithms implemented in Pytorch.
  ☆51Updated 4 years ago
• junjungoal / IMPALA-pytorch
  PyTorch IMPALA implementation
  ☆26Updated 5 years ago
• tesslerc / GAC
  Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"
  ☆22Updated 5 years ago
• WilsonWangTHU / POPLIN
  ☆99Updated 2 years ago