sa-and / MCDLinks
☆12Updated last year
Alternatives and similar repositories for MCD
Users that are interested in MCD are comparing it to the libraries listed below
Sorting:
- ☆48Updated 3 years ago
- Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…☆40Updated last year
- ☆25Updated 4 years ago
- Contains implementation of the DoubIL and ResiduIL algorithms from the ICML '22 paper Causal Imitation Learning under Temporally Correlat…☆11Updated 3 years ago
- A curated list of causal reinforcement learning resources.☆105Updated 2 years ago
- Official code for "Interaction Modeling with Multiplex Attention" (NeurIPS 2022)☆38Updated 2 years ago
- Code for NeurIPS 2021 paper: "Invariant Causal Imitation Learning for Generalizable Policies" by I. Bica, D. Jarrett, M. van der Schaar☆28Updated 3 years ago
- Official Implementation of the paper "Variational Causal Networks: Approximate Bayesian Inference over Causal Structures"☆17Updated 4 years ago
- Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…☆47Updated 3 years ago
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆60Updated last year
- Code for Expert Supervised Reinforcement Learning☆10Updated 4 years ago
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.☆46Updated 4 years ago
- An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…☆13Updated 3 years ago
- Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML…☆46Updated 4 years ago
- Deconfounding Reinforcement Learning in Observational Settings☆51Updated 6 years ago
- Public code for implementation and experiments with differentiable decision trees.☆32Updated last year
- Implicit Distributional Actor Critic☆11Updated 4 years ago
- KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective☆33Updated 2 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆52Updated 4 years ago
- DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks☆59Updated 4 months ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 3 years ago
- This is the official implementation of NeurIPS 2022 paper "Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal R…☆35Updated 3 years ago
- Codebase for "Causal Induction from Visual Observations for Goal-Directed Tasks"☆14Updated 5 years ago
- Implementation of the ICML 2024 paper "Discovering Mixtures of Structural Causal Models from Time Series Data"☆24Updated 7 months ago
- [ICLR 2021] Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.☆59Updated 2 years ago
- Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems☆20Updated 2 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆51Updated 2 years ago
- ☆16Updated 3 years ago
- ☆97Updated 2 years ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆46Updated 5 years ago