keep9oing / DRQN-Pytorch-CartPole-v1Links
Deep recurrent Q learning on CartPole-v1 environment
☆91Updated last year
Alternatives and similar repositories for DRQN-Pytorch-CartPole-v1
Users that are interested in DRQN-Pytorch-CartPole-v1 are comparing it to the libraries listed below
Sorting:
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆180Updated last year
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆140Updated last year
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆53Updated 3 years ago
- ☆211Updated 2 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆72Updated 3 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆117Updated 2 years ago
- This is the official implementation of Multi-Agent PPO.☆109Updated 2 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆79Updated 3 years ago
- ☆101Updated 3 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆51Updated 4 months ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆87Updated 4 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆217Updated 6 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆58Updated 5 years ago
- The code for maddpg using pytorch☆170Updated 4 years ago
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆65Updated 2 years ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆160Updated last year
- Code for Weighted QMIX☆139Updated 4 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆92Updated 4 years ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆115Updated last week
- pytorch实现的一些MARL算法☆67Updated 4 years ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆156Updated last year
- DSAC; Distributional Soft Actor-Critic☆129Updated 5 months ago
- implementation of MADDPG using PettingZoo and PyTorch☆151Updated last year
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆65Updated 6 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆111Updated 4 years ago
- Codes of GoMARL accompanying the paper "Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning"(NeurIPS 2023). G…☆28Updated 11 months ago
- PyTorch implementation of Constrained Policy Optimization☆54Updated 3 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆86Updated 7 months ago
- ☆41Updated 5 years ago
- Implementation of PPO Lagrangian in PyTorch☆49Updated 2 years ago