DanielPalaio / LunarLander-v2_DeepRLLinks
OpenAI LunarLander-v2 DeepRL-based solutions (DQN, DuelingDQN, D3QN)
☆41Updated 4 years ago
Alternatives and similar repositories for LunarLander-v2_DeepRL
Users that are interested in LunarLander-v2_DeepRL are comparing it to the libraries listed below
Sorting:
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆348Updated 5 years ago
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆354Updated 4 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51☆306Updated 5 years ago
- The code for maddpg using pytorch☆170Updated 4 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆493Updated 2 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆648Updated 5 years ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆313Updated 2 years ago
- Multi-Agent Reinforcement Learning (MARL) papers with code☆389Updated 2 years ago
- Deep Reinforcement Learning with DQN, Double DQN, Dueling DQN, Noisy Net (Noisy DQN), and DQN with Prioritized Experience Replay☆98Updated 5 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆644Updated 3 years ago
- ☆184Updated 3 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆596Updated 7 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆20Updated 7 years ago
- A novel DDPG method with prioritized experience replay (IEEE SMC 2017)☆50Updated 6 years ago
- The implement of the policy gradient RL algorithm with pytorch☆39Updated 4 years ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆161Updated last year
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆622Updated 11 months ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆21Updated 4 years ago
- PyTorch implementation of SAC-Discrete.☆308Updated last year
- RL projects including implementation of DQN/DDPG/MADDPG/BicNet on StarCraft II multi-agent learning environment SMAC☆48Updated 5 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆116Updated 2 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆722Updated 3 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆763Updated 3 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆107Updated 4 years ago
- The implement of all kinds of dqn reinforcement learning with Pytorch☆93Updated 4 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆349Updated 5 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆670Updated 7 years ago
- Mean Field Multi-Agent Reinforcement Learning☆403Updated 5 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆51Updated 6 months ago