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
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆71Updated last year
- 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
- ☆41Updated 6 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆95Updated 5 years ago
- ☆97Updated last year
- Mind-aware Multi-agent Management Reinforcement Learning☆81Updated 5 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆26Updated 5 years ago
- ☆91Updated last year
- A library of probabilistic model based RL algorithms in pytorch☆108Updated 3 years ago
- Deep Variational Reinforcement Learning☆134Updated 2 years ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Updated 5 years ago
- ☆60Updated 6 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Continual Reinforcement Learning in 3D Non-stationary Environments☆36Updated 5 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆20Updated last year
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆92Updated 6 years ago
- Code accompanying the OptionGAN paper.☆43Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- on-policy optimization baselines for deep reinforcement learning☆28Updated 4 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 4 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 4 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆44Updated 2 years ago
- Implementation of Random Expert Distillation☆29Updated 5 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 4 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago