microsoft / IBAC-SNI
Code to reproduce the NeurIPS 2019 paper "Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck" by Maximilian Igl, Kamil Ciosek, Yingzhen Li, Sebastian Tschiatschek, Cheng Zhang, Sam Devlin and Katja Hofmann.
☆53Updated 4 years ago
Alternatives and similar repositories for IBAC-SNI:
Users that are interested in IBAC-SNI are comparing it to the libraries listed below
- Revisiting Rainbow☆73Updated 3 years ago
- Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization☆32Updated 4 years ago
- ☆85Updated 6 months ago
- ☆42Updated 3 years ago
- ☆39Updated 3 years ago
- Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020☆53Updated 4 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 4 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated last year
- ☆41Updated 6 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated last year
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"☆37Updated 4 years ago
- ☆41Updated last year
- Efficient Exploration via State Marginal Matching (2019)☆67Updated 5 years ago
- ☆54Updated 11 months ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆85Updated 3 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆158Updated 3 years ago
- Continual Reinforcement Learning in 3D Non-stationary Environments☆36Updated 5 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆63Updated 4 years ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆122Updated 3 years ago
- ☆13Updated last year
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 4 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- A list of papers regarding generalization in (deep) reinforcement learning☆150Updated last year
- Proto-RL: Reinforcement Learning with Prototypical Representations☆82Updated 2 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆29Updated 2 years ago
- on-policy optimization baselines for deep reinforcement learning☆28Updated 4 years ago
- ☆26Updated last year
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆16Updated 5 years ago