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
- A simple and fast 2D RL environment with obstacles to learn navigation.☆21Updated 5 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆50Updated 2 months ago
- 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
- Deep Q Network for Multi-agent RL☆15Updated 4 years ago
- Autonomous visual navigation using the depth images☆11Updated 5 years ago
- Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm☆19Updated 6 years ago
- 用DDPG/MADDPG/DQN/MADDPG+advantage实验 OpenAI开源的MPE环境☆24Updated 6 years ago
- ReinforcementLearning Learn Play Atari Using DDPG and LSTM.☆20Updated 7 years ago
- 车杆倒立摆DQN简单实现☆12Updated last year
- Multi-agent Reinforcement Learning Algorithms(COMA, VDN, QMIX)☆15Updated 4 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
- Pytorch Implement DRL algorithms (A2C, DDPG, PPO, TD3, SAC) for continuous action space control tasks.☆19Updated 5 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 7 years ago
- Dueling Double Deep Q Network with Prioritized Experience Replay Memory☆10Updated 2 years ago
- ☆11Updated 3 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
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆81Updated 4 years ago
- meta-MADDPG (Python implementation)☆18Updated 6 years ago
- A novel DDPG method with prioritized experience replay (IEEE SMC 2017)☆50Updated 6 years ago
- Project on multi agent reinforcement learning applied on patrolling agents☆39Updated 5 years ago
- Jupyter notebook containing a solution to Sutton and Barto's gridworld problem with both a random agent and a Q-learning agent.☆31Updated 7 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆48Updated 5 years ago
- Learning with Helper☆20Updated 5 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆63Updated 5 years ago
- Multi-Agent Deep Recurrent Q-Learning with Bayesian epsilon-greedy on AirSim simulator☆11Updated 3 years ago
- Using N-step dueling DDQN with PER for playing Pacman game☆22Updated 5 years ago
- coach的rl练习,主要有q_learning,sarsa,REINFORCE,DQN,Actor-Critic,DDPG,使用tensorflow2.0编写☆9Updated 4 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆26Updated 5 years ago
- Deep Reinforcement Learning with DQN, Double DQN, Dueling DQN, Noisy Net (Noisy DQN), and DQN with Prioritized Experience Replay☆97Updated 4 years ago
- DQN related algorithms☆10Updated 2 years ago