ciwang / policydistillation
Reproducing Policy Distillation (DeepMind paper ICLR 2016)
☆21Updated 4 years ago
Alternatives and similar repositories for policydistillation:
Users that are interested in policydistillation 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
- Multi-Agent Determinantal Q-Learning☆42Updated 2 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago
- Unified Model-Free Hierarchical Reinforcement Learning Framework☆37Updated 5 years ago
- PyTorch IMPALA implementation☆25Updated 5 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 6 years ago
- ☆60Updated 6 years ago
- ☆29Updated 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
- Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.☆48Updated 5 years ago
- ☆71Updated 7 months ago
- Code for training policies based on paper Coordinated Multi-Agent Imitation Learning☆26Updated 7 years ago
- ☆26Updated 6 years ago
- PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning☆49Updated 3 years ago
- ☆44Updated 2 years ago
- Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards☆32Updated 2 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 5 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆38Updated 5 years ago
- ☆83Updated 6 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆26Updated 5 years ago
- pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"☆51Updated 2 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆70Updated 7 years ago
- FEN Code☆37Updated 5 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- A Multi-agent Learning Framework☆62Updated 3 years ago
- Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning☆22Updated 5 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 5 years ago