debmandal / RL-CausalityLinks
References at the Intersection of Causality and Reinforcement Learning
☆89Updated 4 years ago
Alternatives and similar repositories for RL-Causality
Users that are interested in RL-Causality are comparing it to the libraries listed below
Sorting:
- Deconfounding Reinforcement Learning in Observational Settings☆52Updated 6 years ago
- Code for paper Causal Confusion in Imitation Learning☆45Updated 5 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)☆43Updated 4 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆48Updated 3 years ago
- ☆86Updated 10 months ago
- ☆78Updated 4 years ago
- Code accompanying the OptionGAN paper.☆44Updated 6 years ago
- Code for "Neural causal learning from unknown interventions"☆104Updated 4 years ago
- OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.☆61Updated 2 years ago
- Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings☆95Updated 7 years ago
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆46Updated last year
- Taming MAML: efficient unbiased meta-reinforcement learning☆29Updated 2 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 7 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆95Updated 6 years ago
- ☆43Updated 6 years ago
- ☆13Updated 6 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Updated 5 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆95Updated 4 years ago
- ☆43Updated 3 years ago
- ☆43Updated 8 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago
- ☆65Updated last year
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 5 years ago
- Code for the CoRL 2019 paper AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers☆24Updated 2 years ago
- Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"☆127Updated 6 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago