RobvanGastel / meta-rl-algorithmsLinks
A collection of Meta-Reinforcement Learning algorithms in PyTorch
☆51Updated last year
Alternatives and similar repositories for meta-rl-algorithms
Users that are interested in meta-rl-algorithms are comparing it to the libraries listed below
Sorting:
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆109Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'☆71Updated 4 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆171Updated last year
- Code snippets of Meta Reinforcement Learning algorithms☆39Updated 2 years ago
- ☆27Updated 5 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆63Updated 5 years ago
- There will be updates later☆87Updated 6 years ago
- ☆20Updated 2 years ago
- ☆49Updated 4 years ago
- [NeurIPS 2022] Code for Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments☆12Updated 3 years ago
- Code for Weighted QMIX☆144Updated 5 years ago
- Collection of OpenAI parametrized action-space environments.☆67Updated 9 months ago
- The official code base of Shared Experience Actor-Critic (NeurIPS2020)☆41Updated last year
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆216Updated last year
- ☆40Updated 4 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆55Updated 4 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆41Updated 3 years ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆53Updated last year
- PyTorch implementation of discrete version of Soft Actor-Critic.☆36Updated 4 years ago
- ☆220Updated 2 years ago
- ☆106Updated 4 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆167Updated 2 years ago
- ☆42Updated 4 years ago
- ☆100Updated 5 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆67Updated 4 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆200Updated last year
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆146Updated last year
- PyTorch implementation of Constrained Policy Optimization☆56Updated 4 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆141Updated last year