willwhitney / dynamics-aware-embeddingsLinks
Official implementation of DynE, Dynamics-aware Embeddings for RL
☆43Updated 4 years ago
Alternatives and similar repositories for dynamics-aware-embeddings
Users that are interested in dynamics-aware-embeddings are comparing it to the libraries listed below
Sorting:
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆45Updated 2 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Updated 2 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Updated 5 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆63Updated last year
- Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings☆96Updated 7 years ago
- Official code for the paper "Learning Transition Policies for Composing Complex Skills" (ICLR 2019)☆73Updated 6 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 6 years ago
- Guided-Meta Policy Search☆39Updated 2 years ago
- Implicit Normalizing Flows + Reinforcement Learning☆61Updated 6 years ago
- [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement☆125Updated 6 years ago
- ☆35Updated 6 years ago
- ☆43Updated 6 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- Autoregressive policies for continuous control reinforcement learning☆32Updated 6 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆44Updated last year
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 4 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 6 years ago
- Implementation of Data Efficient Reinforcement Learning in Pytorch☆20Updated 6 years ago
- Generalised UDRL☆37Updated 3 years ago
- Reinforcement Learning with Latent Flow☆44Updated 4 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago