yl-1993 / SpectralMEIRLLinks
Spectral Method for Multiple Experts Inverse Reinforcement Learning
☆14Updated 11 years ago
Alternatives and similar repositories for SpectralMEIRL
Users that are interested in SpectralMEIRL are comparing it to the libraries listed below
Sorting:
- Hierarchical Online Planning and Reinforcement Learning on Taxi☆30Updated 7 years ago
- Library for model based RL in robotics☆37Updated 7 years ago
- Deep Gaussian Process for Inverse Reinforcement Learning☆33Updated 8 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆28Updated 6 years ago
- Code for CORL'18 paper "Risk-Aware Active Inverse Reinforcement Learning"☆16Updated 6 years ago
- ☆54Updated 7 years ago
- Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)☆27Updated 3 years ago
- ☆20Updated 4 years ago
- IRL Toolkit developed by Sergey Levine (Taken from https://graphics.stanford.edu/projects/gpirl/)☆62Updated 8 years ago
- Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gr…☆38Updated 6 years ago
- ☆99Updated 2 years ago
- Companion code to CoRL 2018 paper: E Bıyık, D Sadigh. "Batch Active Preference-Based Learning of Reward Functions". Conference on Robot L…☆29Updated 6 years ago
- Code for "Divide-and-Conquer Reinforcement Learning"☆61Updated 6 years ago
- Source code for our NIPS 2017 paper, InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations☆42Updated 7 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆66Updated 5 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆74Updated 2 years ago
- Implementation of Attentive Multi Task Deep Reinforcement Learning Architecture in Tensorflow☆15Updated 6 years ago
- Source code for "Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards" (CoRL 2018)☆13Updated 6 years ago
- PyTorch implementation of SAC-Q Reinforcement Learning Algorithm (tested on OpenAI Gym environments)☆38Updated 4 years ago
- Hierarchical Reinforcement Learning (batteries included)☆46Updated 5 years ago
- Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines fro…☆154Updated 3 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- QMDP-Net implementation☆65Updated 5 years ago
- A curated list of awesome Model-based reinforcement learning resources☆93Updated 5 years ago
- Shared autonomy via deep reinforcement learning☆79Updated 2 years ago
- ☆66Updated 5 years ago
- Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)☆98Updated 4 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 6 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆32Updated 5 years ago
- PyTorch implementation of R2D2 (Recurrent Replay Distributed DPG (not DQN))☆14Updated 6 years ago