frankroeder / goal_conditioned_rlLinks
Goal-conditioned reinforcement learning like 🔥
☆13Updated last year
Alternatives and similar repositories for goal_conditioned_rl
Users that are interested in goal_conditioned_rl are comparing it to the libraries listed below
Sorting:
- ☆24Updated last year
- Source files to replicate experiments in my ICLR 2022 paper.☆70Updated 6 months ago
- Evaluation of TD-MPC2.☆21Updated last year
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆83Updated last year
- [ICLR 2025] Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.☆78Updated 5 months ago
- This repository accompanies the following paper: A Workflow for Offline Model-Free Robotic RL☆12Updated 4 years ago
- ☆28Updated last year
- Implementations of Stable Contrastive RL☆23Updated 9 months ago
- DAC: Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning.☆25Updated last year
- ☆56Updated 4 years ago
- OpenAI gym environments for goal-conditioned and language-conditioned reinforcement learning☆14Updated 10 months ago
- Official release of the DMControl Generalization Benchmark 2 (DMC-GB2)☆22Updated 5 months ago
- Skill-based Model-based Reinforcement Learning (CoRL 2022)☆64Updated 3 years ago
- ☆35Updated last year
- ☆38Updated this week
- Skeleton for scalable and flexible Jax RL implementations☆94Updated 2 years ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆92Updated last year
- ☆116Updated 10 months ago
- A version of the DeepMind Control Suite with randomly generated graphics, for measuring visual generalization in continuous control.☆20Updated 5 years ago
- ☆23Updated 3 years ago
- Official release of CompoSuite, a compositional RL benchmark☆50Updated last year
- [ICLR 2025] Bootstrapped Model Predictive Control☆30Updated 5 months ago
- Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.☆81Updated last year
- Controllability-Aware Unsupervised Skill Discovery (ICML 2023)☆28Updated 2 years ago
- ☆25Updated last year
- Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization☆27Updated 2 years ago
- ☆25Updated 3 years ago
- Lipschitz-constrained Unsupervised Skill Discovery (ICLR 2022)☆38Updated 2 years ago
- ☆60Updated last month
- Advantage weighted Actor Critic for Offline RL☆52Updated 3 years ago