alversafa / option-critic-archLinks
Implementation of the Option-Critic Architecture
☆40Updated 6 years ago
Alternatives and similar repositories for option-critic-arch
Users that are interested in option-critic-arch are comparing it to the libraries listed below
Sorting:
- ☆92Updated last year
- ☆31Updated 6 years ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated 2 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Updated 5 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago
- ☆54Updated last year
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 6 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- ☆62Updated 7 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆67Updated 2 years ago
- Proximal Policy Option-Critic☆25Updated 6 years ago
- ☆114Updated 2 years ago
- ☆99Updated 2 years ago
- Gym-like extensions for POMDP☆57Updated 4 years ago
- ☆78Updated last year
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆139Updated last year
- Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)☆68Updated 5 years ago
- ☆203Updated 2 years ago
- Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch☆46Updated 5 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆28Updated 3 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆75Updated 2 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 3 years ago
- Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards☆32Updated 2 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆30Updated 6 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 8 months ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆194Updated 2 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 6 months ago
- Code for MOPO: Model-based Offline Policy Optimization☆189Updated 3 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 5 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆174Updated last year