braemt / attentive-multi-task-deep-reinforcement-learning
Implementation of Attentive Multi Task Deep Reinforcement Learning Architecture in Tensorflow
☆15Updated 5 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
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 5 years ago
- A Multi-agent Learning Framework☆62Updated 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
- Reproducing Policy Distillation (DeepMind paper ICLR 2016)☆22Updated 5 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆39Updated 4 years ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆62Updated 6 years ago
- Multi-Agent Determinantal Q-Learning☆42Updated 2 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆94Updated 2 years ago
- ☆74Updated 10 months ago
- ☆29Updated 3 years ago
- Deep Implicit Coordination Graphs☆41Updated 10 months ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆33Updated 5 years ago
- Environments with IC3Net paper☆12Updated 6 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 5 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆70Updated 7 years ago
- PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning☆49Updated 3 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆40Updated 6 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆60Updated 5 years ago
- Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.☆48Updated 6 years ago
- ☆44Updated 2 years ago
- ☆32Updated 2 years ago
- ☆53Updated last year
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆27Updated 5 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆71Updated 2 years ago
- ☆60Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 7 years ago
- FEN Code☆37Updated 5 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 6 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 5 years ago