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
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated 2 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 8 years ago
- ☆114Updated 2 years ago
- Proximal Policy Option-Critic☆25Updated 6 years ago
- ☆99Updated 2 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Updated 5 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 6 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆134Updated last year
- ☆62Updated 7 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆94Updated last year
- ☆78Updated last year
- Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch☆47Updated 5 years ago
- ☆54Updated last year
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆66Updated 5 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆74Updated 2 years ago
- Implementation of the Prioritized Option-Critic on the Four-Rooms Environment☆17Updated 7 years ago
- ☆31Updated 6 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆153Updated 4 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆29Updated 6 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated last month
- Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)☆66Updated 5 years ago
- ☆66Updated 5 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated 2 years ago
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Updated 2 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Gym-like extensions for POMDP☆57Updated 4 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 4 months ago