ZainBashir / Solving-openAI-Gym-MountainCarProblem-using-DQN-with-Image-input
I have targeted to solve the benchmark problem in Reinforcement learning literature using Deep Q-networks with images as the only input to the model. Keras was used to model the Convolutional neural network which predicts the best action to take in a given state
☆12Updated 5 years ago
Alternatives and similar repositories for Solving-openAI-Gym-MountainCarProblem-using-DQN-with-Image-input:
Users that are interested in Solving-openAI-Gym-MountainCarProblem-using-DQN-with-Image-input are comparing it to the libraries listed below
- The code and the trained model for A Deep Q-Network for Robotic Odor/Gas Source Localization: Modeling, Measurement and Comparative Study☆7Updated last year
- Using N-step dueling DDQN with PER for playing Pacman game☆22Updated 5 years ago
- ☆11Updated last year
- 用DDPG/MADDPG/DQN/MADDPG+advantage实验 OpenAI开源的MPE环境☆23Updated 6 years ago
- Pytorch Implement DRL algorithms (A2C, DDPG, PPO, TD3, SAC) for continuous action space control tasks.☆19Updated 5 years ago
- ☆11Updated 2 years ago
- Use deep Q network to solve maze problem generated randomly, i.e. find the shortest path in a maze☆8Updated 2 years ago
- Deep Q Network for Multi-agent RL☆15Updated 4 years ago
- Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm☆18Updated 6 years ago
- A simple and fast 2D RL environment with obstacles to learn navigation.☆21Updated 5 years ago
- Value-Decomposition Networks For Cooperative Multi-Agent Learning☆22Updated 3 years ago
- Deep Q-Network (DQN) and DDPG to address the problem of stall around the wing sail of an autonomous sailing robot☆11Updated 6 years ago
- Multi-agent Reinforcement Learning Algorithms(COMA, VDN, QMIX)☆15Updated 4 years ago
- Project on multi agent reinforcement learning applied on patrolling agents☆39Updated 5 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆49Updated last month
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆19Updated 7 years ago
- 通过python3.6编程,利用DQN算法实现机器学习避开障碍走到迷宫终点。(Through python3.6 programming, I use DQN algorithm to achieve machine learning and avoid obstacles…☆10Updated 6 years ago
- DQN related algorithms☆10Updated 2 years ago
- Completion of three Deep Q-Networks : Deep Q-Network (DQN), Double Deep Q-Network (DDQN), Double Dueling Deep Q-Network (D3QN)☆10Updated 3 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆104Updated 4 years ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆61Updated 2 years ago
- meta-MADDPG (Python implementation)☆18Updated 6 years ago
- Contains implementations of various deep RL algorithms and papers including action conditional video prediction | Python | Tensorflow | O…☆7Updated 7 years ago
- PyTorch implementation of MATD3☆13Updated 4 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆79Updated 4 years ago
- Adaptation of DQN, DDQN and COMA for multi-agent Gym environments☆12Updated last year
- qmix☆22Updated 4 years ago
- The implementation of LSTM-TD3.☆77Updated 2 years ago
- ReinforcementLearning Learn Play Atari Using DDPG and LSTM.☆20Updated 7 years ago
- Utilizes Q-learning, DQN, and TD3 reinforcement learning algorithms to teach BipedalWalker to walk☆9Updated 3 years ago