GuanSuns / Simple-Human-in-the-Loop-ML-InterfaceLinks
A simple human interface for human-in-the-loop machine learning research, which allows: 1. annote image on webpage, 2. collect human feedback through keyboard input, 3. direct interaction with agents on remote server
☆13Updated last year
Alternatives and similar repositories for Simple-Human-in-the-Loop-ML-Interface
Users that are interested in Simple-Human-in-the-Loop-ML-Interface are comparing it to the libraries listed below
Sorting:
- A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges☆244Updated 5 months ago
- [TNNLS-2024, arXiv-2023.2.10] Official repository of "A Survey on Causal Reinforcement Learning"☆39Updated 3 months ago
- Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…☆38Updated last year
- A curated list of causal reinforcement learning resources.☆94Updated last year
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 3 years ago
- Code for Expert Supervised Reinforcement Learning☆10Updated 4 years ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 3 years ago
- [ICLR 2021] Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.☆59Updated 2 years ago
- A list of papers regarding generalization in (deep) reinforcement learning☆152Updated last year
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆59Updated 10 months ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆71Updated 5 years ago
- Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…☆43Updated 3 years ago
- Implementation of Relational Deep Reinforcement Learning☆25Updated 5 years ago
- ☆33Updated 4 years ago
- Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML…☆40Updated 4 years ago
- ☆44Updated 3 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Code for NeurIPS 2021 paper: "Invariant Causal Imitation Learning for Generalizable Policies" by I. Bica, D. Jarrett, M. van der Schaar☆27Updated 3 years ago
- ☆31Updated 4 years ago
- Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022☆63Updated 2 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆56Updated 3 years ago
- A curated list of awesome Meta Reinforcement Learning☆30Updated 5 years ago
- TensorFlow implementation of "A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Le…☆16Updated 3 years ago
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.☆47Updated 4 years ago
- Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation (AAAI 2021)☆27Updated 3 years ago
- Public code for implementation and experiments with differentiable decision trees.☆29Updated 9 months ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆94Updated last month
- Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning☆38Updated 2 years ago
- A curated list of multiagent learning and related area resources.☆77Updated 5 years ago
- Decision Transformer: A brand new Offline RL Pattern.☆36Updated 3 years ago