Stanford-ILIAD / easy-active-learning
Companion code to CoRL 2019 paper: E Bıyık, M Palan, NC Landolfi, DP Losey, D Sadigh. "Asking Easy Questions: A User-Friendly Approach to Active Reward Learning". 3rd Conference on Robot Learning (CoRL), Osaka, Japan, Oct. 2019.
☆17Updated 4 years ago
Alternatives and similar repositories for easy-active-learning:
Users that are interested in easy-active-learning are comparing it to the libraries listed below
- Reward Propagation using Graph Convolutional Networks☆13Updated 3 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆44Updated 2 years ago
- A set of environments utilizing pybullet for simulation of robotic manipulation tasks.☆25Updated 3 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆48Updated 3 years ago
- Companion code to CoRL 2018 paper: E Bıyık, D Sadigh. "Batch Active Preference-Based Learning of Reward Functions". Conference on Robot L…☆28Updated 5 years ago
- [CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning☆32Updated 4 years ago
- code for CoRL 2020 paper "Contrastive Variational Model-Based Reinforcement Learning for Complex Observations"☆24Updated 3 years ago
- Source code for the paper "Policy Architectures for Compositional Generalization in Control"☆29Updated 2 years ago
- Code for Environment Probing Interaction Policies [ICLR 2019]☆29Updated 5 years ago
- Model-Based Visual Planning with Self-Supervised Functional Distances (ICLR 2021)☆20Updated 3 years ago
- Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)☆18Updated 2 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆44Updated last year
- ICLR 2020 Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies☆18Updated 4 years ago
- ☆18Updated 4 years ago
- The code accompaniment for the CoRL 2020 paper: A User's Guide to Calibrating Robotics Simulators (https://arxiv.org/abs/2011.08985), fro…☆29Updated 4 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- Change-Based Exploration Transfer☆36Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆36Updated 2 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago
- Codebase for "Causal Induction from Visual Observations for Goal-Directed Tasks"☆12Updated 4 years ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated last year
- Reward shaping approach for instruction following settings, leveraging language at multiple levels of abstraction.☆19Updated 3 years ago
- MImE - Manipulation Imitation Environments☆14Updated 2 years ago
- Variational Reinforcement Learning☆16Updated 5 months ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆15Updated 3 years ago
- ☆18Updated 3 years ago
- Sparse Graphical Memory for Robust Planning☆28Updated 2 years ago
- My Body Is A Cage☆38Updated 3 years ago
- Official release of CompoSuite, a compositional RL benchmark☆47Updated 11 months ago
- Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Source Code☆15Updated 4 months ago