braemt / attentive-multi-task-deep-reinforcement-learningLinks
Implementation of Attentive Multi Task Deep Reinforcement Learning Architecture in Tensorflow
☆15Updated 6 years ago
Alternatives and similar repositories for attentive-multi-task-deep-reinforcement-learning
Users that are interested in attentive-multi-task-deep-reinforcement-learning are comparing it to the libraries listed below
Sorting:
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆28Updated 6 years ago
- Reproducing Policy Distillation (DeepMind paper ICLR 2016)☆22Updated 5 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning☆49Updated 4 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆33Updated 6 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆28Updated 6 years ago
- Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)☆65Updated 5 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 6 years ago
- ☆30Updated 3 years ago
- Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning☆22Updated 5 years ago
- PyTorch IMPALA implementation☆27Updated 5 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆103Updated 4 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆70Updated 8 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆32Updated 5 years ago
- ☆75Updated last year
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)