gopala-kr / DRL-AgentsLinks
research and implementations of Deep RL agents and their applications
☆59Updated last month
Alternatives and similar repositories for DRL-Agents
Users that are interested in DRL-Agents are comparing it to the libraries listed below
Sorting:
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆120Updated 11 months ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆130Updated 2 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆82Updated 7 years ago
- MAGNet: Multi-agents control using Graph Neural Networks☆132Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆73Updated 8 years ago
- (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning☆117Updated 2 years ago
- ☆78Updated last year
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- ☆77Updated 7 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆34Updated 6 years ago
- Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym☆178Updated 7 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆107Updated 4 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆42Updated 6 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆219Updated 2 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆88Updated 7 years ago
- ☆89Updated 4 years ago
- FEN Code☆39Updated 5 years ago
- Unified Model-Free Hierarchical Reinforcement Learning Framework☆38Updated 6 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆212Updated 6 years ago
- Soft Actor-Critic with advanced features☆51Updated last week
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆67Updated 6 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆357Updated 6 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆73Updated 8 years ago
- ☆84Updated 6 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 4 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆125Updated 5 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆80Updated 5 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆106Updated 3 years ago