apexrl / GCRL-CollectionLinks
This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmark environments and conclude a series of research works for goal-conditioned reinforcement learning (GCRL).
☆138Updated 2 years ago
Alternatives and similar repositories for GCRL-Collection
Users that are interested in GCRL-Collection are comparing it to the libraries listed below
Sorting:
- ☆104Updated 2 years ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆126Updated 3 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆144Updated last year
- ☆54Updated 3 years ago
- PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spot…☆42Updated last year
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆69Updated last year
- Skill-based Model-based Reinforcement Learning (CoRL 2022)☆60Updated 2 years ago
- [ICLR 2025] Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.☆57Updated last month
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆70Updated 2 years ago
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning☆102Updated 11 months ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆95Updated 10 months ago
- behavior cloning from observation☆35Updated 4 years ago
- Paper Collection for Imitation Learning in RL.☆147Updated 3 years ago
- ☆48Updated 7 months ago
- ☆26Updated 2 years ago
- rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").☆33Updated last year
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆64Updated last year
- [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning☆35Updated 2 years ago
- Conservative Q Learning on top of SAC☆132Updated 2 years ago
- Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021☆34Updated 3 years ago
- Public implementation of "Learning from Suboptimal Demonstration via Self-Supervised Reward Regression" from CoRL'21☆23Updated 4 years ago
- Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020☆209Updated 2 years ago
- Reading List☆34Updated last year
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆170Updated 3 years ago
- Transformer-based World Models☆83Updated 2 years ago
- RL Algorithms for Visual Continuous Control☆32Updated 2 years ago
- A PyTorch implementation of Implicit Q-Learning☆82Updated 3 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆57Updated 2 years ago
- [ECCV2022] [T-PAMI] StARformer: Transformer with State-Action-Reward Representations.☆95Updated 2 years ago
- ☆56Updated 2 years ago