wyndwarrior / SectarLinks
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
☆95Updated 7 years ago
Alternatives and similar repositories for Sectar
Users that are interested in Sectar are comparing it to the libraries listed below
Sorting:
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- Deep Variational Reinforcement Learning☆136Updated 3 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆95Updated 2 years ago
- Code accompanying the OptionGAN paper.☆44Updated 6 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- Mind-aware Multi-agent Management Reinforcement Learning☆82Updated 6 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆95Updated 5 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆56Updated 6 years ago
- ☆99Updated 2 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- ☆43Updated 6 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆70Updated last year
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆73Updated 2 years ago
- ☆92Updated last year
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆96Updated 7 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆44Updated 2 years ago
- Implicit Normalizing Flows + Reinforcement Learning☆61Updated 6 years ago
- Code for paper "Episodic Memory Deep Q-Networks" (https://arxiv.org/abs/1805.07603), IJCAI 2018☆62Updated 6 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 4 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Updated 2 years ago
- Source code for our NIPS 2017 paper, InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations☆42Updated 7 years ago
- Model-Based Generative Adversarial Imitation Learning☆89Updated 4 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Updated 5 years ago