marc-rigter / ramboLinks
Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022
☆31Updated 2 years ago
Alternatives and similar repositories for rambo
Users that are interested in rambo are comparing it to the libraries listed below
Sorting:
- ☆58Updated 2 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆110Updated last month
- Author's PyTorch implementation of TD7 for online and offline RL☆156Updated 2 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆69Updated 2 years ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆82Updated 2 years ago
- Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …☆72Updated 2 years ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆132Updated 4 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆176Updated last year
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆182Updated 3 years ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆35Updated 2 years ago
- Representation Learning for RL☆129Updated 2 years ago
- [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning☆37Updated 3 years ago
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆29Updated 3 years ago
- Official code repository for Prompt-DT.☆119Updated 3 years ago
- Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization☆22Updated last year
- Code for MOPO: Model-based Offline Policy Optimization☆190Updated 3 years ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆79Updated 3 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆61Updated 2 years ago
- Conservative Q Learning on top of SAC☆132Updated 3 years ago
- ☆58Updated last week
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆57Updated 2 years ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆39Updated last year
- Model-Based Offline Reinforcement Learning☆51Updated 4 years ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆26Updated 3 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆93Updated 2 years ago
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…☆144Updated 2 years ago
- ☆48Updated 2 years ago
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆223Updated last year
- Implementation of Multi-Game Decision Transformers in PyTorch☆47Updated 2 years ago