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
- Unofficial PyBrain extension for multi-agent reinforcement learning in general sum stochastic games.☆69Updated 8 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆83Updated 6 years ago
- ☆76Updated 7 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆131Updated 2 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 5 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆45Updated 4 years ago
- Deep Gaussian Process for Inverse Reinforcement Learning☆33Updated 7 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆64Updated 7 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- Code for training policies based on paper Coordinated Multi-Agent Imitation Learning☆26Updated 7 years ago
- Safe Reinforcement Learning algorithms☆73Updated 2 years ago
- Implementation of Multi-Agent Deep Deterministic Policy Gradients☆36Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 6 years ago
- A curated list of awesome Model-based reinforcement learning resources☆90Updated 4 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- A Multi-agent Learning Framework☆62Updated 3 years ago
- IRL Toolkit developed by Sergey Levine (Taken from https://graphics.stanford.edu/projects/gpirl/)☆62Updated 8 years ago
- Implement Google Deep Minds DQN for multiple agents for a grid world environment where vehicles must pick up customers.☆27Updated 6 years ago
- FEN Code☆37Updated 5 years ago
- Yet another prioritized experience replay buffer implementation.☆48Updated 2 years ago
- reproduce some RL or Multi-Agent models☆35Updated 5 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆216Updated last year
- ☆44Updated 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 …☆115Updated 2 months ago
- ☆71Updated 7 months ago
- Tensorflow implementation of Deep Deterministic Policy Gradients☆19Updated 7 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
- scalable multi agents reinforcement learning☆54Updated 6 years ago
- research and implementations of Deep RL agents and their applications☆48Updated last month