anh-nn01 / Lunar-Lander-Double-Deep-Q-NetworksLinks
An AI agent that use Double Deep Q-learning to teach itself to land a Lunar Lander on OpenAI universe
☆17Updated 4 years ago
Alternatives and similar repositories for Lunar-Lander-Double-Deep-Q-Networks
Users that are interested in Lunar-Lander-Double-Deep-Q-Networks are comparing it to the libraries listed below
Sorting:
- ☆15Updated 6 years ago
- ☆13Updated 2 years ago
- Deep Reinforcement Learning with DQN, Double DQN, Dueling DQN, Noisy Net (Noisy DQN), and DQN with Prioritized Experience Replay☆100Updated 5 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆92Updated 5 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆54Updated 10 months ago
- In this repo, I used some math and image manipulation skills to create my own reinforcement learning environnement for autonomous car☆13Updated 6 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆96Updated 4 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆50Updated 6 years ago
- ☆14Updated 4 years ago
- Project on multi agent reinforcement learning applied on patrolling agents☆40Updated 6 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆227Updated 6 years ago
- Implementation of the Nash Q-Learning algorithm to solve simple MARL problems with two agents.☆25Updated 3 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆67Updated 6 years ago
- scalable multi agents reinforcement learning☆63Updated 7 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆36Updated 4 years ago
- PyTorch implementation of Constrained Policy Optimization☆56Updated 4 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆43Updated 6 years ago
- Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.☆41Updated 4 years ago
- A novel DDPG method with prioritized experience replay (IEEE SMC 2017)☆51Updated 7 years ago
- ☆90Updated 4 years ago
- IQL, QMIX, VDN, COMA, QTRAN (QTRAN-Base and QTRAN-Alt), MAVEN, CommNet, DYMA-Cl, G2ANet, and MADDPG☆19Updated 4 years ago
- QMIX implemented in TensorFlow 2☆17Updated 4 years ago
- ☆40Updated 4 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆61Updated 3 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆53Updated 6 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆94Updated last year
- 🎾 Multi-Agent Proximal Policy Optimization approach to a competitive reinforcement learning problem☆22Updated 3 years ago
- The code for maddpg using pytorch☆168Updated 5 years ago
- Implementation of the Discrete Soft Actor-Critic algorithm with RNN policy in PyTorch☆26Updated 3 years ago
- ☆106Updated 4 years ago