TToTMooN / paco-mtrlLinks
☆26Updated last year
Alternatives and similar repositories for paco-mtrl
Users that are interested in paco-mtrl are comparing it to the libraries listed below
Sorting:
- CORRO code☆35Updated 2 years ago
- ☆48Updated last year
- ☆48Updated 7 months ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆85Updated 6 months ago
- Skill-based Model-based Reinforcement Learning (CoRL 2022)☆60Updated 2 years ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆36Updated last year
- 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
- Advantage weighted Actor Critic for Offline RL☆50Updated 2 years ago
- ☆28Updated last year
- ☆56Updated 2 years ago
- PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spot…☆42Updated last year
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…☆136Updated 2 years ago
- ☆23Updated last year
- Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)☆35Updated last year
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆94Updated 9 months ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆123Updated 3 years ago
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆103Updated last year
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆57Updated 2 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆70Updated 11 months ago
- behavior cloning from observation☆35Updated 4 years ago
- A PyTorch implementation of Implicit Q-Learning☆82Updated 3 years ago
- Code for ICLR 2022 paper Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.☆26Updated 3 years ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- Simple maze environments using mujoco-py☆57Updated last year
- Pytorch Implementation of Policy Distillation for control, which has well-trained teachers via stable_baselines3.☆58Updated 4 years ago
- Benchmark data (i.e., DeepMind Control Suite and MuJoCo) for RL.☆30Updated 4 years ago
- ☆53Updated 3 years ago
- Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization☆19Updated last year
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning☆98Updated 10 months ago
- ☆53Updated last year