Alternatives and similar repositories for Fuzzy-Q-Learning

Users that are interested in Fuzzy-Q-Learning are comparing it to the libraries listed below

• apourchot / CEM-RL
  Combining Evolutionary Algorithms and deep RL in various ways
  ☆107Updated 5 years ago
• karush17 / esac
  Evolution-based Soft Actor-Critic (ESAC)
  ☆42Updated last year
• aravindsrinivas / neural-mpc
  ☆73Updated 5 years ago
• cookbenjamin / DDPG
  Clean Python Implementation of the Deep Deterministic Policy Gradients Algorithm
  ☆78Updated 8 years ago
• alirezakazemipour / SAC
  Implementation of Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.
  ☆29Updated 7 months ago
• mynkpl1998 / Recurrent-Deep-Q-Learning
  Solving POMDP using Recurrent networks
  ☆92Updated 5 years ago
• zhihanyang2022 / off-policy-continuous-control
  Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)
  ☆90Updated 2 years ago
• ThibautTheate / Risk-Sensitive-Policy-with-Distributional-Reinforcement-Learning
  Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional R…
  ☆15Updated 2 years ago
• BY571 / Deep-Reinforcement-Learning-Algorithm-Collection
  Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
  ☆79Updated 5 years ago
• kazizzad / BDQN-MxNet-Gluon
  Efficient Exploration through Bayesian Deep Q-Networks
  ☆37Updated 7 years ago
• shakti365 / soft-actor-critic
  TF2 Implementation of the Soft Actor-Critic Algorithm
  ☆44Updated 3 years ago
• fshamshirdar / pytorch-rdpg
  PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)
  ☆56Updated 3 years ago
• BlueFisher / Advanced-Soft-Actor-Critic
  Soft Actor-Critic with advanced features
  ☆51Updated last month
• mike-gimelfarb / bayesian-reward-shaping
  Bayesian Reward Shaping Framework for Deep Reinforcement Learning
  ☆23Updated 6 years ago
• dongminlee94 / Reinforcement-Learning-Code
  A repository for code of reinforcement learning algorithms with PyTorch
  ☆30Updated 4 years ago
• CherryPieSexy / imitation_learning
  PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
  ☆149Updated 4 years ago
• SimonRennotte / Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control
  Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…
  ☆145Updated 2 years ago
• BY571 / D4PG
  PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…
  ☆24Updated 4 years ago
• siemens / industrialbenchmark
  Industrial Benchmark
  ☆139Updated 2 years ago
• toshikwa / soft-actor-critic.pytorch
  PyTorch implementation of Soft Actor-Critic(SAC).
  ☆105Updated 5 years ago
• BY571 / Munchausen-RL
  PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN
  ☆45Updated 5 years ago
• adik993 / ppo-pytorch
  Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
  ☆146Updated 6 years ago
• gjp1203 / nui_in_madrl
  Negative Update Intervals in Multi-Agent Deep Reinforcement Learning
  ☆34Updated 6 years ago
• alirezakazemipour / PPO-RND
  Random network distillation on Montezuma's Revenge and Super Mario Bros.
  ☆52Updated 7 months ago
• cyoon1729 / Policy-Gradient-Methods
  Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
  ☆100Updated 6 years ago
• Silvicek / cvar-algorithms
  Risk-Averse Distributional Reinforcement Learning: Code
  ☆28Updated 7 years ago
• BY571 / IQN-and-Extensions
  PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…
  ☆90Updated 2 years ago
• ShawK91 / Evolutionary-Reinforcement-Learning
  Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…
  ☆243Updated 5 years ago
• hejia-zhang / awesome-model-based-reinforcement-learning
  A curated list of awesome Model-based reinforcement learning resources
  ☆95Updated 5 years ago
• quantumiracle / Cascading-Decision-Tree
  Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning
  ☆38Updated last month