TakuyaHiraoka / Multi-Agent-Reinforcement-Learning-in-Stochastic-Games
Unofficial PyBrain extension for multi-agent reinforcement learning in general sum stochastic games.
☆69Updated 9 years ago
Alternatives and similar repositories for Multi-Agent-Reinforcement-Learning-in-Stochastic-Games:
Users that are interested in Multi-Agent-Reinforcement-Learning-in-Stochastic-Games are comparing it to the libraries listed below
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆128Updated 2 years ago
- Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília☆67Updated 6 years ago
- Tensorflow + OpenAI Gym implementation of Deep Q-Network (DQN), Double DQN (DDQN), Dueling Network and Deep Deterministic Policy Gradient…☆77Updated 8 years ago
- Implementation of Multi-Agent Deep Deterministic Policy Gradients☆38Updated 7 years ago
- Constrained Policy Optimization☆317Updated 7 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆150Updated last year
- Deep Recurrent Attention Reinforcement Learning in Atari☆84Updated 6 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆182Updated 7 years ago
- Multiagent Cooperation and Competition with Deep Reinforcement Learning☆124Updated 9 years ago
- ☆53Updated 8 years ago
- Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…☆274Updated 7 years ago
- Yet another prioritized experience replay buffer implementation.☆48Updated 2 years ago
- reinforcement learning ddpg code. follow deepmind papers.☆60Updated 7 years ago
- ☆76Updated 7 years ago
- scalable multi agents reinforcement learning☆61Updated 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
- Code for hierarchical imitation learning and reinforcement learning☆290Updated 7 years ago
- "Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow☆192Updated 6 years ago
- Implementation for ICML 16 paper "Deep reinforcement learning with opponent modeling"☆70Updated 8 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆308Updated 4 years ago
- A Multi-agent Learning Framework☆62Updated 3 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- Implementations of deep RL papers and random experimentation☆176Updated 7 years ago
- implement of prioritized experience replay☆159Updated 6 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆353Updated 6 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆104Updated 4 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆177Updated 7 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆180Updated 6 years ago
- Actor-critic with experience replay☆252Updated 2 years ago
- POMDPs in Python.☆247Updated 5 years ago