seyedsaeidmasoumzadeh / Fuzzy-Q-Learning
A Python implementation of Fuzzy Q-Learning (FQL) for any controllers with continues states
☆39Updated last year
Alternatives and similar repositories for Fuzzy-Q-Learning:
Users that are interested in Fuzzy-Q-Learning are comparing it to the libraries listed below
- Fuzzy Deep Reinforcement Learning for autoscaling on clouds☆9Updated 4 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆47Updated 6 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆45Updated 2 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆32Updated 5 years ago
- Implementation of Linear Inverse Reinforcement Learning Algorithm (IRL) on Mountain Car Environment.☆30Updated 4 years ago
- Fuzzy Q-Learning Algorithm☆19Updated last year
- PyTorch implementation of QR-DQN: Distributional Reinforcement Learning with Quantile Regression☆26Updated 4 years ago
- Project exploring Multi Task Deep Reinforcement Learning neural network architectures and algorithms with Open AI Gym and TensorFlow☆17Updated 6 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆70Updated 7 years ago
- Pytorch GAIL VAIL AIRL VAIRL EAIRL SQIL Implementation☆63Updated 3 years ago
- Evolution-based Soft Actor-Critic (ESAC)☆41Updated 6 months ago
- Implementation of Off Policy Adversarial Inverse Reinforcement Learning☆22Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆102Updated 4 years ago
- Distributional Soft Actor Critic☆51Updated 4 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆83Updated 6 years ago
- Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.☆88Updated 6 years ago
- A repository for code of reinforcement learning algorithms with PyTorch☆30Updated 3 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆27Updated 5 years ago
- A novel DDPG method with prioritized experience replay (IEEE SMC 2017)☆49Updated 6 years ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆81Updated last year
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆60Updated 5 years ago
- The implementation of LSTM-TD3.☆73Updated 2 years ago
- Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning☆22Updated 5 years ago
- ☆41Updated 5 years ago
- Python implementation of POMDP framework and PBVI & POMCP algorithms.☆107Updated 3 years ago
- using recurrent networks(LSTM) to solve POMDPs☆35Updated 6 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆64Updated 5 years ago
- Implementation of Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.☆23Updated 6 months ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆135Updated 6 years ago
- Unified Model-Free Hierarchical Reinforcement Learning Framework☆37Updated 5 years ago