TJU-DRL-LAB / self-supervised-rlLinks
☆46Updated 3 years ago
Alternatives and similar repositories for self-supervised-rl
Users that are interested in self-supervised-rl are comparing it to the libraries listed below
Sorting:
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆81Updated 2 years ago
- ☆51Updated 3 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆112Updated 4 years ago
- ☆45Updated 4 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆214Updated last year
- 🚀 A fast safe reinforcement learning library in PyTorch☆226Updated last year
- PyTorch implementation of Constrained Policy Optimization☆56Updated 4 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆61Updated 2 years ago
- Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"☆99Updated 5 months ago
- ☆40Updated 3 years ago
- DSAC; Distributional Soft Actor-Critic☆135Updated 10 months ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆93Updated 2 years ago
- ☆42Updated 4 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆63Updated 2 years ago
- ☆106Updated 4 years ago
- [NeurIPS 2022] Code for Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments☆12Updated 3 years ago
- Public implementation of "Multi-Agent Graph-Attention Communication and Teaming" from AAMAS'21☆86Updated last year
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆67Updated 4 years ago
- A novel Hierarchical Imitation Learning algorithm based on AIRL.☆23Updated 2 years ago
- A collection of recent MARL papers☆99Updated last year
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆70Updated last year
- Adversarial Reinforcement Learning papers (single-agent setting and multi-agent setting)☆75Updated 3 years ago
- ☆70Updated 5 months ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆107Updated 3 years ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆41Updated last year
- ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (te…☆175Updated 2 years ago
- Implementation of PPO Lagrangian in PyTorch☆53Updated 3 years ago
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆225Updated last year
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆88Updated 2 years ago
- [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning☆37Updated 3 years ago