skumar9876 / Hierarchical-DQN
Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https://arxiv.org/pdf/1604.06057.pdf
☆82Updated 7 years ago
Alternatives and similar repositories for Hierarchical-DQN:
Users that are interested in Hierarchical-DQN are comparing it to the libraries listed below
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆101Updated 2 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆70Updated 7 years ago
- pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"☆53Updated 2 years ago
- ☆84Updated 3 years ago
- ☆26Updated 7 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆104Updated 4 years ago
- ☆75Updated 5 years ago
- use tensorflow to implement the MADDPG(simple_tag)☆18Updated 7 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆129Updated 2 years ago
- There will be updates later☆84Updated 5 years ago
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆35Updated 5 years ago
- ☆120Updated 2 years ago
- Learning Individual Intrinsic Reward in MARL☆62Updated 2 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆118Updated 5 months ago
- ☆52Updated 6 years ago
- ☆93Updated 4 years ago
- CommNet and BiCnet implementation in tensorflow☆55Updated 6 years ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆62Updated 6 years ago
- ☆47Updated 4 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆39Updated 4 years ago
- FEN Code☆37Updated 5 years ago
- Unified Model-Free Hierarchical Reinforcement Learning Framework☆37Updated 6 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆218Updated last year
- Deep Recurrent Attention Reinforcement Learning in Atari☆84Updated 6 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆63Updated 5 years ago
- A Multi-agent Learning Framework☆62Updated 3 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 7 years ago
- Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)☆112Updated 2 years ago