TheoLvs / reinforcement-learning
Personal experiments on Reinforcement Learning
☆106Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for reinforcement-learning
- Multi-Objective Reinforcement Learning☆253Updated 3 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆215Updated 4 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆114Updated 2 weeks ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆317Updated 4 years ago
- TensorFlow 2.0 for Deep Reinforcement Learning.☆82Updated last year
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆296Updated 2 years ago
- The implement of all kinds of dqn reinforcement learning with Pytorch☆90Updated 3 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆120Updated 3 years ago
- multi-agent deep reinforcement learning for networked system control.☆385Updated 4 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆74Updated 10 months ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆63Updated 5 years ago
- Solving Traveling Salesman Problem with reinforcement learning...☆52Updated 5 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆92Updated 3 years ago
- ☆71Updated 5 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆139Updated last year
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆192Updated 5 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆53Updated 4 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆271Updated 3 years ago
- The code for the SRDQN algorithm to train an agent for the beer game problem☆76Updated last year
- Mean Field Multi-Agent Reinforcement Learning☆377Updated 4 years ago
- The code for maddpg using pytorch☆162Updated 4 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆133Updated last year
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆300Updated 2 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆88Updated last year
- Multi-Agent Reinforcement Learning (MARL) papers with code☆312Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆284Updated 3 months ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆305Updated 4 years ago
- ☆181Updated 2 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆96Updated 2 years ago