TakuyaHiraoka / Multi-Agent-Reinforcement-Learning-in-Stochastic-GamesLinks
Unofficial PyBrain extension for multi-agent reinforcement learning in general sum stochastic games.
☆69Updated 4 months 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
Sorting:
- Tensorflow + OpenAI Gym implementation of Deep Q-Network (DQN), Double DQN (DDQN), Dueling Network and Deep Deterministic Policy Gradient…☆79Updated 8 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆151Updated 2 years ago
- Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília☆68Updated 7 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆82Updated 7 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆64Updated 8 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆130Updated 2 years ago
- Constrained Policy Optimization☆333Updated 8 years ago
- Code for hierarchical imitation learning and reinforcement learning☆301Updated 7 years ago
- Multiagent Cooperation and Competition with Deep Reinforcement Learning☆123Updated 9 years ago
- Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…☆277Updated 7 years ago
- ☆77Updated 7 years ago
- Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym☆178Updated 7 years ago
- Implementation of Multi-Agent Deep Deterministic Policy Gradients☆39Updated 7 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 6 years ago
- Yet another prioritized experience replay buffer implementation.☆48Updated 3 years ago
- implement of prioritized experience replay☆159Updated 7 years ago
- ☆37Updated 9 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆312Updated 4 years ago
- reinforcement learning ddpg code. follow deepmind papers.☆60Updated 7 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆106Updated 4 years ago
- Hybrid Reward Architecture☆78Updated 7 years ago
- Duel_DDQN (Dueling Network Architectures + Double DQN) using Keras☆31Updated 9 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆358Updated 6 years ago
- Actor-critic with experience replay☆256Updated 3 years ago
- research and implementations of Deep RL agents and their applications☆59Updated 2 months ago
- Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinf…☆176Updated 4 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆184Updated 7 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆186Updated 8 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
- Implementation of point-based value iteration (for POMDPs)☆12Updated 5 years ago