srnand / Reinforcement-Learning-using-OpenAI-GymLinks
Reinforcement Learning algorithms SARSA, Q-Learning, DQN, for Classical and MuJoCo Environments and testing them with OpenAI Gym.
☆7Updated 6 years ago
Alternatives and similar repositories for Reinforcement-Learning-using-OpenAI-Gym
Users that are interested in Reinforcement-Learning-using-OpenAI-Gym are comparing it to the libraries listed below
Sorting:
- ☆19Updated 6 years ago
- Reinforcement Learning (RL), allows you to develop smart, quick and self-learning systems in your business surroundings. It is an effecti…☆11Updated 5 years ago
- A MATLAB simple interactive Reinforcement Learning environment for Evolutionary Neural Network-based car with a proximity sensor☆13Updated 6 years ago
- A Python implementation of Fuzzy Q-Learning (FQL) for any controllers with continues states☆39Updated last year
- My implementation of a deep q learning network learning to play pong.☆8Updated 4 years ago
- MATLAB implementation of DQN for a navigation environment☆13Updated 4 years ago
- Different implementations of Bayesian neural networks for uncertainty estimation. The uncertainty estimation is utilized for efficient ex…☆9Updated 4 years ago
- Combination of RL and game theory for modeling human behavior☆11Updated 3 years ago
- Utilizes Q-learning, DQN, and TD3 reinforcement learning algorithms to teach BipedalWalker to walk☆9Updated 4 years ago
- Actor critic reinforcement learning + motion and task planning under LTL tasks + wireless sensor network routing☆13Updated 4 years ago
- This project is a pipeline that connects a Matlab simulation (Simulink) to an OpenAI Gym wrapper for PyTorch Reinforcement Learning using…☆16Updated last year
- ☆12Updated last year
- SARSA, Q-Learning, Expected SARSA, SARSA(λ) and Double Q-learning Implementation and Analysis☆29Updated 5 years ago
- Multi-objective reinforcement learning for covid-19 control☆11Updated 3 years ago
- Tabular Reinforcement Learning Algorithms with NumPy & Visualizations with Seaborn☆19Updated 7 years ago
- This project explores a deep reinforcement learning technique to train an agent to play atari pong game from OpenAI Gym. OpenAI Gym is a …☆10Updated 7 years ago
- Adaptation of DQN, DDQN and COMA for multi-agent Gym environments☆12Updated last year
- A Soft Actor Policy based model free off-policy network to control the steering and throttle of car while drifting at high speeds.☆9Updated 2 years ago
- Collection of materials and code samples on reinforcement learning / optimal control and game theory☆15Updated this week
- An implementation of main reinforcement learning algorithms: solo-agent and ensembled versions.☆13Updated 6 years ago
- ☆15Updated 4 years ago
- Tensorflow implementation of DQN to control cart-pole from OpenAI gym environment☆14Updated 7 years ago
- Code to implement Maximum Entropy Deep Inverse Reinforcement Learning.☆13Updated 4 years ago
- Fuzzy Q-Learning Algorithm☆19Updated 2 years ago
- Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents☆8Updated 3 years ago
- Driving motion recognition and prediction for automated driving systems using machine learning☆18Updated 7 years ago
- Hands-on Reinforcement Learning with PyTorch, published by [Packt]☆55Updated 4 years ago
- Value iteration, policy iteration, and Q-Learning in a grid-world MDP.☆29Updated last year
- I have targeted to solve the benchmark problem in Reinforcement learning literature using Deep Q-networks with images as the only input t…☆12Updated 5 years ago
- ☆48Updated 5 years ago