anh-nn01 / Lunar-Lander-Double-Deep-Q-Networks
An AI agent that use Double Deep Q-learning to teach itself to land a Lunar Lander on OpenAI universe
☆16Updated 3 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
- ☆11Updated 5 years ago
- RLToolkit is a flexible and high-efficient reinforcement learning framework. Include implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG,…☆17Updated last year
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆140Updated last year
- Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm☆18Updated 6 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆41Updated 2 years ago
- my code for paper Parameterized-DQN☆21Updated 3 years ago
- A clean and robust implementation of Prioritized DQN and Prioritized Double DQN☆19Updated 8 months 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
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆43Updated 2 years ago
- PyTorch implementations of MADDPG, MAPPO (coming)☆112Updated 11 months ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆69Updated 2 months ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆93Updated 3 years ago
- Multi-agent reinforcement learning programs based on Game theory☆35Updated 2 years ago
- ☆40Updated 3 years ago
- D3QN Pytorch☆57Updated 3 years ago
- 🎾 Multi-Agent Proximal Policy Optimization approach to a competitive reinforcement learning problem☆20Updated 2 years ago
- implementation of MADDPG using PettingZoo and PyTorch☆123Updated last year
- Project on multi agent reinforcement learning applied on patrolling agents☆38Updated 5 years ago
- Hybrid action space reinforcement learning algorithms.☆12Updated 3 years ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆57Updated 2 years ago
- Reinforcement Learning approaches for learning communication in Multi Agent Systems.☆18Updated 6 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆43Updated 5 years ago
- ☆14Updated 3 years ago
- Deep Reinforcement Learning with DQN, Double DQN, Dueling DQN, Noisy Net (Noisy DQN), and DQN with Prioritized Experience Replay☆95Updated 4 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆38Updated 6 years ago
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆32Updated 2 years ago
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆32Updated last year
- A simple example of how to implement vector based DDPG for MARL tasks using PyTorch and a ML-Agents environment.☆36Updated 6 years ago
- DQN by Matlab and Python☆26Updated 4 years ago
- Nash Q Learning☆30Updated 4 years ago