yatharthgarg / Reinforcement-Learning
Using WoLF (win or learn fast) PHC (policy hill climbing) algorithm to implement stochastic games
☆14Updated 5 years ago
Alternatives and similar repositories for Reinforcement-Learning
Users that are interested in Reinforcement-Learning are comparing it to the libraries listed below
Sorting:
- ☆41Updated 3 years ago
- Deep learning implementations (Asynchronous Deep Q-Learning) of multiple Game Theory algorithms for adversarial learning (WoLF-PHC, GIGA-…☆15Updated 7 years ago
- This is code for finding the minimax/nash/stackelberg strategy of players in Markov Games.☆24Updated 5 years ago
- 强化学习中纳什Qlearning 实现矩阵博弈☆30Updated 6 years ago
- Nash Q Learning☆31Updated 4 years ago
- scalable multi agents reinforcement learning☆61Updated 7 years ago
- Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)☆38Updated 6 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆50Updated 6 years ago
- Project on multi agent reinforcement learning applied on patrolling agents☆39Updated 5 years ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆59Updated 4 years ago
- code for☆10Updated 4 years ago
- Lightweight multi-agent PPO for IEEE field.☆14Updated 3 years ago
- my code for paper Parameterized-DQN☆22Updated 4 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆81Updated 5 months ago
- Decentralized deep multi-agent reinforcement learning in physical environments.☆14Updated 6 years ago
- The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive …☆14Updated 3 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆46Updated 3 years ago
- Implement Google Deep Minds DQN for multiple agents for a grid world environment where vehicles must pick up customers.☆28Updated 7 years ago
- PyTorch implementation of MATD3☆13Updated 5 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆84Updated 4 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆94Updated 2 years ago
- Hybrid action space reinforcement learning algorithms.☆12Updated 4 years ago
- ☆15Updated 5 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆47Updated 2 years ago
- ☆85Updated 3 years ago
- ☆20Updated 5 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆105Updated 4 years ago
- ☆16Updated 3 years ago
- ☆21Updated last year
- A multi-agent reinforcement learning framework for optimizing coverage and connectivity in Space-Air-Ground integrated networks. This pro…☆19Updated 2 months ago