sol0invictus / RL_CodesLinks
Reinforcement Learning code for various projects
☆10Updated 5 years ago
Alternatives and similar repositories for RL_Codes
Users that are interested in RL_Codes are comparing it to the libraries listed below
Sorting:
- Reinforcement learning environment for job scheduling written in python.☆25Updated 5 years ago
- Source Code for 'Deep Reinforcement Learning with Python' by Nimish Sanghi☆48Updated 3 years ago
- Tensorflow implementation of a Deep Deterministic Policy Gradient (DDPG) network, trained on OpenAI Gym environments.☆23Updated 6 years ago
- Implementations of Coursera Reinforcement Learning Specialization☆48Updated 5 years ago
- This code accompanies the YouTube tutorial where we build a custom OpenAI environment for reinforcement learning.☆104Updated last year
- Using WoLF (win or learn fast) PHC (policy hill climbing) algorithm to implement stochastic games☆14Updated 6 years ago
- Tensorflow 2 Reinforcement Learning Cookbook, published by Packt☆196Updated last month
- Deep Deterministic Policy Gradient (DDPG) in Tensorflow 2☆28Updated last year
- Deep Reinforcement Learning with Python, Second Edition, published by Packt☆200Updated last month
- OpenAI MountainCar-v0 DeepRL-based solutions (DQN, DuelingDQN, D3QN)☆25Updated 4 years ago
- Reinforcement Learning for Anomaly Detection☆45Updated 7 years ago
- ☆184Updated 3 years ago
- Multiagent deep reinforcement learning research project☆28Updated last year
- Multi Agent Deep Reinforcement Learning for Local Flexibility Markets- Master Thesis☆13Updated 5 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆350Updated 5 years ago
- Official codes for "Multi-Agent Deep Reinforcement Learning for Multi-Echelon Inventory Management: Reducing Costs and Alleviating Bullwh…☆48Updated 2 years ago
- Reinforcement Learning | tensorflow implementation of DQN, Dueling DQN and Double DQN performed on Atari Breakout☆98Updated 7 years ago
- Multi-objective reinforcement learning deals with finding policies for tasks where there are multiple distinct criteria to optimize for. …☆24Updated 6 years ago
- Here we try to detect the attack at it's first attempt using machine learning algorithms(Reinforcement l)☆11Updated 5 years ago
- Actor Critic model to play Cartpole game☆52Updated 7 years ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆315Updated 3 years ago
- The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.☆28Updated 7 years ago
- Deep Reinforcement Learning with DQN, Double DQN, Dueling DQN, Noisy Net (Noisy DQN), and DQN with Prioritized Experience Replay☆99Updated 5 years ago
- solutions to the examples and exercises☆42Updated 9 years ago
- 强化学习中纳什Qlearning 实现矩阵博弈☆30Updated 6 years ago
- The code for maddpg using pytorch☆170Updated 5 years ago
- Personal experiments on Reinforcement Learning☆117Updated 4 years ago
- Implementing Algorithms for Computing Stackelberg Equilibria in Security Games☆42Updated 8 years ago
- Bin Packing Problem using Neural Combinatorial Optimization.☆110Updated 2 years ago
- reinforcement learning algorithm for multi-objective optimization problem☆18Updated 4 years ago