marc-rigter / ramboLinks
Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022
☆29Updated 2 years ago
Alternatives and similar repositories for rambo
Users that are interested in rambo are comparing it to the libraries listed below
Sorting:
- ☆57Updated 2 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆70Updated 2 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆98Updated 11 months ago
- [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning☆36Updated 3 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆147Updated last year
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆35Updated 2 years ago
- Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …☆71Updated 2 years ago
- Conservative Q Learning on top of SAC☆132Updated 2 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆184Updated 3 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆171Updated 9 months ago
- Model-Based Offline Reinforcement Learning☆51Updated 4 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆179Updated 3 years ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆130Updated 3 years ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆37Updated last year
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆27Updated 2 years ago
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆57Updated 2 years ago
- OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation☆15Updated 2 years ago
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆27Updated 3 years ago
- ☆49Updated last month
- ☆48Updated 2 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆87Updated last year
- This repository accompanies the following paper: A Workflow for Offline Model-Free Robotic RL☆11Updated 3 years ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆72Updated last year
- Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]☆53Updated 3 years ago
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆59Updated last year
- 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
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆60Updated 2 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆75Updated 3 years ago
- Representation Learning for RL☆126Updated 2 years ago