qxtian / Learning-Independent-SKills
Task dependent skill transformation is challenging due to the ignorance of the relationships between primitive skills. In this project, we propose a skill decomposition algorithm to learn independent skills, which are more suitable than primitive skills for task dependent skill transformation.
☆14Updated 4 years ago
Alternatives and similar repositories for Learning-Independent-SKills:
Users that are interested in Learning-Independent-SKills are comparing it to the libraries listed below
- [ICLR 2021] Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.☆57Updated last year
- ☆8Updated last year
- Study NeuralUCB and regret analysis for contextual bandit with neural decision☆91Updated 3 years ago
- Deconfounding Reinforcement Learning in Observational Settings☆48Updated 5 years ago
- ☆30Updated 2 years ago
- Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML…☆37Updated 3 years ago
- ☆29Updated 4 years ago
- Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization☆32Updated 4 years ago
- Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.☆20Updated 3 years ago
- Implementation of the Adaptive Contextual Combinatorial Upper Confidence Bound (ACC-UCB) algorithm for the contextual combinatorial volat…☆18Updated 4 years ago
- Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…☆36Updated 9 months ago
- [CIKM 2022] Towards Automated Over-Sampling for Imbalanced Classification☆10Updated last year
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆90Updated last year
- [ICDM 2020] Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning☆50Updated last year
- Code release for "Supported Policy Optimization for Offline Reinforcement Learning" (NeurIPS 2022), https://arxiv.org/abs/2202.06239☆19Updated last year
- Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7☆20Updated 5 years ago
- ☆85Updated 5 months ago
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆13Updated 5 months ago
- Implementation of "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update", NeurIPS 2019.☆17Updated 5 years ago
- ☆17Updated 4 years ago
- ☆28Updated 2 years ago
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆60Updated 3 years ago
- VIME: Variational Information Maximizing Exploration☆9Updated 4 years ago
- OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.☆61Updated 2 years ago
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆34Updated 5 years ago
- ☆19Updated 2 years ago
- ☆60Updated 6 years ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆59Updated 2 years ago
- Simple implementation of GP-UCB algorithm.☆51Updated 8 years ago
- Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatib…☆66Updated 2 years ago