lucifer2859 / meta-RLLinks
☆27Updated 5 years ago
Alternatives and similar repositories for meta-RL
Users that are interested in meta-RL are comparing it to the libraries listed below
Sorting:
- ☆20Updated 2 years ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆59Updated 5 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- Code snippets of Meta Reinforcement Learning algorithms☆39Updated 2 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆54Updated 4 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆36Updated 4 years ago
- ☆126Updated 4 years ago
- This is the official implementation of ERL-Re2.☆69Updated last year
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆102Updated 2 years ago
- ☆104Updated 4 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆42Updated 6 years ago
- There will be updates later☆85Updated 6 years ago
- ☆89Updated 4 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆71Updated 3 years ago
- ☆39Updated 3 years ago
- ☆40Updated 3 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆94Updated 4 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆106Updated 3 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆112Updated 4 years ago
- ☆42Updated 4 years ago
- Assignments for CS294-112.☆30Updated 6 years ago
- DSAC; Distributional Soft Actor-Critic☆132Updated 8 months ago
- Code for Weighted QMIX☆142Updated 4 years ago
- A collection of Meta-Reinforcement Learning algorithms in PyTorch☆50Updated last year
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 4 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆87Updated 2 years ago
- The implementation of AAAI 2022 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".☆59Updated last year
- Deep recurrent Q learning on CartPole-v1 environment☆94Updated last year
- Implementation of DyMA-CL, MARL algorithm☆28Updated 5 years ago