Stanford-ILIAD / batch-active-preference-based-learning
Companion code to CoRL 2018 paper: E Bıyık, D Sadigh. "Batch Active Preference-Based Learning of Reward Functions". Conference on Robot Learning (CoRL), Zurich, Switzerland, Oct. 2018.
☆28Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for batch-active-preference-based-learning
- Code for CORL'18 paper "Risk-Aware Active Inverse Reinforcement Learning"☆15Updated 5 years ago
- ☆53Updated 6 years ago
- QMDP-Net implementation☆65Updated 4 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆44Updated 2 years ago
- Code for Environment Probing Interaction Policies [ICLR 2019]☆29Updated 5 years ago
- Source code for "Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards" (CoRL 2018)☆13Updated 6 years ago
- ☆17Updated 3 years ago
- ☆25Updated 4 years ago
- ☆97Updated last year
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- ☆68Updated 3 years ago
- Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)☆25Updated 3 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆34Updated 2 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆26Updated 5 years ago
- Official codebase for LEAP: Planning with Goal Conditioned Policies☆50Updated 2 years ago
- ☆62Updated 4 years ago
- Autoregressive policies for continuous control reinforcement learning☆28Updated 5 years ago
- Implementation of PILCO for the Model-Based Baselines Project☆17Updated 5 years ago
- Guided-Meta Policy Search☆41Updated last year
- Code for "Divide-and-Conquer Reinforcement Learning"☆60Updated 5 years ago
- Working directory for dynamics learning for experimental robots.☆56Updated 3 years ago
- accompanying code for neurips submission "Goal-conditioned Imitation Learning"☆67Updated last year
- Inferring beliefs about dynamics from behavior☆28Updated 6 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 5 years ago
- Library for model based RL in robotics☆37Updated 6 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆62Updated last year
- ☆47Updated 4 years ago
- Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)☆18Updated 2 years ago
- implementation of our self-guided and self-regularized actor-critic algorithm☆30Updated last year