TheoLvs / reinforcement-learningLinks
Personal experiments on Reinforcement Learning
☆118Updated 4 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:
- The code for the SRDQN algorithm to train an agent for the beer game problem☆86Updated 2 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆104Updated 2 years ago
- "Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver☆187Updated 4 years ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆315Updated 3 years ago
- Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization☆201Updated 5 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆247Updated 5 years ago
- Multi-Objective Reinforcement Learning☆296Updated 4 years ago
- ☆163Updated 6 years ago
- Order Fulfillment by Multi-Agent Reinforcement Learning☆26Updated 2 years ago
- Deep Reinforcement Learning with DQN, Double DQN, Dueling DQN, Noisy Net (Noisy DQN), and DQN with Prioritized Experience Replay☆100Updated 5 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆355Updated 5 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆67Updated 6 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆120Updated last year
- Solving Traveling Salesman Problem with reinforcement learning...☆56Updated 6 years ago
- TensorFlow 2.0 for Deep Reinforcement Learning.☆88Updated 2 years ago
- ☆76Updated 6 years ago
- Reinforcement learning for operation research problems with OpenAI Gym and CleanRL☆123Updated 2 years ago
- Mean Field Multi-Agent Reinforcement Learning☆414Updated 5 years ago
- multi-agent deep reinforcement learning for networked system control.☆437Updated 5 years ago
- Tensorflow implementation of an Actor Critic algorithm using a Pointer Network to solve the TSP (algorithm from Neural Combinatorial Opti…☆43Updated 8 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆94Updated 2 years ago
- An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP prob…☆101Updated 3 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆344Updated 2 years ago
- Hierarchical deep reinforcement learning for combinatorial optimization problem☆35Updated 6 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆116Updated 3 years ago
- ☆187Updated 3 years ago
- ☆35Updated 5 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆223Updated 2 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆167Updated 2 years ago