TJU-DRL-LAB / self-supervised-rlLinks
☆41Updated 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:
- [NeurIPS 2022] Code for Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments☆12Updated 2 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆80Updated 2 years ago
- [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning☆36Updated 3 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆182Updated last year
- 🚀 A fast safe reinforcement learning library in PyTorch☆209Updated 10 months ago
- ☆50Updated 3 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆60Updated 2 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆111Updated 4 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆65Updated last year
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆87Updated last year
- ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (te…☆174Updated 2 years ago
- ☆60Updated 4 years ago
- Robust and safe deep reinforcement learning algorithms☆15Updated last year
- ☆43Updated 4 years ago
- A novel Hierarchical Imitation Learning algorithm based on AIRL.☆22Updated 2 years ago
- PyTorch implementation of Constrained Policy Optimization☆55Updated 3 years ago
- DSAC; Distributional Soft Actor-Critic☆129Updated 6 months ago
- ☆39Updated 3 years ago
- ☆41Updated 3 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆104Updated 3 years ago
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆207Updated 11 months ago
- Model-based Offline Policy Optimization re-implement all by pytorch☆36Updated last year
- ☆49Updated 4 years ago
- Generate expert demonstrations; GAIL(Generative Adversarial Imitation Learning); IRL(Inverse Reinforcement Learning)☆32Updated 4 years ago
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆26Updated last year
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆70Updated 2 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆171Updated 9 months ago
- A collection of offline reinforcement learning algorithms.☆195Updated 9 months ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 4 years ago
- ☆40Updated 3 years ago