stevenyangyj / CoTASPLinks
Official code for the paper: Continual Task Allocation in Meta-Policy Network via Sparse Prompting
☆19Updated 6 months ago
Alternatives and similar repositories for CoTASP
Users that are interested in CoTASP are comparing it to the libraries listed below
Sorting:
- ☆100Updated last year
- Official code repository for Prompt-DT.☆114Updated 3 years ago
- [NeurIPS 2024] Official Implementation of Meta-DT☆45Updated 10 months ago
- Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily ext…☆124Updated 2 years ago
- Official codebase for CuGRO: Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay☆31Updated last year
- Source code of the ICML24 paper "Self-Composing Policies for Scalable Continual Reinforcement Learning" (selected for oral presentation)☆23Updated last year
- Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)☆163Updated last year
- Code for paper: Reward Uncertainty for Exploration in Preference-based Reinforcement Learning☆15Updated 3 years ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆59Updated last year
- ☆28Updated 2 years ago
- ☆89Updated 2 years ago
- Official code for "Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning".☆53Updated last year
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆59Updated 10 months ago
- Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…☆45Updated 3 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
- ☆48Updated 2 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆60Updated 2 years ago
- ☆43Updated 2 years ago
- ☆57Updated 2 years ago
- ☆50Updated 2 years ago
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆18Updated 9 months ago
- Code for "Multi-task Reinforcement Learning with Soft Modularization"☆123Updated 4 years ago
- [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning☆36Updated 3 years ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆130Updated 3 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆76Updated 3 years ago
- Implemention of the Decision-Pretrained Transformer (DPT) from the paper Supervised Pretraining Can Learn In-Context Reinforcement Learni…☆71Updated last year
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆74Updated 2 years ago
- Collection of papers and resources for data augmentation (DA) in visual reinforcement learning (RL).☆79Updated last year
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆98Updated 11 months ago