matheusportela / Multiagent-RL
Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília
☆67Updated 6 years ago
Alternatives and similar repositories for Multiagent-RL
Users that are interested in Multiagent-RL are comparing it to the libraries listed below
Sorting:
- Unofficial PyBrain extension for multi-agent reinforcement learning in general sum stochastic games.☆69Updated 9 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆128Updated 2 years ago
- ☆76Updated 7 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆85Updated 6 years ago
- research and implementations of Deep RL agents and their applications☆50Updated 2 weeks ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 7 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- Inverse Reinforcement Learning Argorithms☆54Updated 6 years ago
- ☆76Updated 11 months ago
- Notes and comments about Deep Reinforcement Learning papers☆77Updated 7 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 5 years ago
- hierarchical deep reinforcement learning algorithms☆41Updated 7 years ago
- PyTorch implementation of CommNet☆36Updated 7 years ago
- Hierarchical Deep RL Network☆31Updated 8 years ago
- Code for training policies based on paper Coordinated Multi-Agent Imitation Learning☆26Updated 7 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆104Updated 4 years ago
- ☆28Updated 6 years ago
- Unified Model-Free Hierarchical Reinforcement Learning Framework☆37Updated 6 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆45Updated 4 years ago
- Yet another prioritized experience replay buffer implementation.☆48Updated 2 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆183Updated 7 years ago
- Implementation for ICML 16 paper "Deep reinforcement learning with opponent modeling"☆71Updated 8 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆33Updated 6 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 6 months ago
- ☆44Updated 2 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆125Updated 5 years ago
- Tensorflow implementation of Deep Deterministic Policy Gradients☆19Updated 8 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- Implementation of Multi-Agent Deep Deterministic Policy Gradients☆38Updated 7 years ago