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:
- Reproducing Policy Distillation (DeepMind paper ICLR 2016)☆22Updated 5 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆47Updated 6 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆33Updated 6 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆28Updated 5 years ago
- ☆29Updated 3 years ago
- Project exploring Multi Task Deep Reinforcement Learning neural network architectures and algorithms with Open AI Gym and TensorFlow☆17Updated 6 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆70Updated 7 years ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆62Updated 6 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆73Updated 2 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- ☆83Updated 6 years ago
- Multi-Agent Determinantal Q-Learning☆42Updated 2 years ago
- ☆76Updated last year
- Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gr…☆37Updated 6 years ago
- [ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"☆48Updated 5 years ago
- FEN Code☆37Updated 5 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆40Updated 6 years ago
- PyTorch IMPALA implementation☆26Updated 5 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- Hierarchical Deep RL Network☆31Updated 8 years ago
- Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.☆50Updated 6 years ago
- Code for training policies based on paper Coordinated Multi-Agent Imitation Learning☆26Updated 7 years ago
- ☆61Updated 6 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 5 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 6 years ago
- ☆91Updated last year
- Implementation of Relational Deep Reinforcement Learning☆25Updated 5 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 8 years ago