wyndwarrior / Sectar
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
☆95Updated 6 years ago
Alternatives and similar repositories for Sectar:
Users that are interested in Sectar are comparing it to the libraries listed below
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆94Updated 2 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 5 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- Code accompanying the OptionGAN paper.☆44Updated 6 years ago
- ☆42Updated 6 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- ☆60Updated 6 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 4 years ago
- ☆98Updated 2 years ago
- Official implementation of DynE, Dynamics-aware Embeddings for RL☆43Updated 3 years ago
- ☆91Updated last year
- ☆43Updated 8 years ago
- Model-Based Generative Adversarial Imitation Learning☆89Updated 4 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆95Updated 5 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆71Updated 2 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 7 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆70Updated last year
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆33Updated 5 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆47Updated 6 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- ☆117Updated 6 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆96Updated 7 years ago
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆45Updated last year
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- Deep Variational Reinforcement Learning☆135Updated 2 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆56Updated 5 years ago