vformanyuk / reinforcement-learning
Collection of reinforcement learning algorithms implementations with TensorFlow2
☆12Updated 4 months ago
Alternatives and similar repositories for reinforcement-learning:
Users that are interested in reinforcement-learning are comparing it to the libraries listed below
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆139Updated last year
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆41Updated 2 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆93Updated 3 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆49Updated 3 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆64Updated 5 years ago
- my code for paper Parameterized-DQN☆21Updated 3 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆68Updated 2 months ago
- Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51☆286Updated 4 years ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆34Updated 3 months ago
- Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'☆40Updated last year
- Deep Reinforcement Learning with DQN, Double DQN, Dueling DQN, Noisy Net (Noisy DQN), and DQN with Prioritized Experience Replay☆95Updated 4 years ago
- Implementation of the Discrete Soft Actor-Critic algorithm with RNN policy in PyTorch☆23Updated 2 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆114Updated 9 months ago
- ☆14Updated 3 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆31Updated 3 years ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆52Updated 3 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆199Updated 5 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆17Updated 6 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆79Updated 4 years ago
- A novel DDPG method with prioritized experience replay (IEEE SMC 2017)☆49Updated 6 years ago
- ☆39Updated 3 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆48Updated 4 years ago
- ☆182Updated 2 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆113Updated 2 years ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆304Updated 2 years ago
- QMIX implemented in TensorFlow 2☆16Updated 3 years ago
- An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.☆119Updated 2 months ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆329Updated 4 years ago
- ☆12Updated 3 years ago
- qmix☆22Updated 4 years ago