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:
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆28Updated 6 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆33Updated 6 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆48Updated 6 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- ☆30Updated 3 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 5 years ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆62Updated 6 years ago
- PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning☆49Updated 4 years ago
- Resilient Multi-Agent Reinforcement Learning☆10Updated 2 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆44Updated 6 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆73Updated 2 years ago
- Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards☆31Updated 2 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
- Reproducing Policy Distillation (DeepMind paper ICLR 2016)☆22Updated 5 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 2 years ago
- Multi-Agent Determinantal Q-Learning☆43Updated 2 years ago
- ☆61Updated 7 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆56Updated 6 years ago
- Code for "Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning"☆35Updated 4 years ago
- Deep learning implementations (Asynchronous Deep Q-Learning) of multiple Game Theory algorithms for adversarial learning (WoLF-PHC, GIGA-…☆15Updated 7 years ago
- ☆26Updated 7 years ago
- Hierarchical Online Planning and Reinforcement Learning on Taxi☆30Updated 7 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆27Updated 5 years ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Updated 6 years ago
- Environments with IC3Net paper☆13Updated 6 years ago
- ☆76Updated last year
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago