rohan-sawhney / multi-agent-rlLinks
☆77Updated 7 years ago
Alternatives and similar repositories for multi-agent-rl
Users that are interested in multi-agent-rl are comparing it to the libraries listed below
Sorting:
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆130Updated 2 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆106Updated 4 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆219Updated 2 years ago
- Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)☆115Updated 2 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆82Updated 7 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated last year
- ☆78Updated last year
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆214Updated 6 years ago
- Constrained Policy Optimization☆333Updated 8 years ago
- Hierarchical Deep RL Network☆31Updated 8 years ago
- Code for hierarchical imitation learning and reinforcement learning☆301Updated 7 years ago
- ☆84Updated 6 years ago
- pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"☆53Updated 2 years ago
- ☆122Updated 2 years ago
- MAGNet: Multi-agents control using Graph Neural Networks☆132Updated 6 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆357Updated 6 years ago
- There will be updates later☆87Updated 6 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 6 years ago
- An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆132Updated 7 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆34Updated 6 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆88Updated 7 years ago
- Implementation of Multi-Agent Deep Deterministic Policy Gradients☆39Updated 7 years ago
- ☆54Updated 6 years ago
- ☆48Updated 5 years ago
- research and implementations of Deep RL agents and their applications☆59Updated 2 months ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆241Updated 5 years ago
- Mean Field Multi-Agent Reinforcement Learning☆408Updated 5 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆331Updated 3 years ago