saashanair / rl-seriesLinks
☆23Updated 3 years ago
Alternatives and similar repositories for rl-series
Users that are interested in rl-series are comparing it to the libraries listed below
Sorting:
- ☆186Updated 3 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆70Updated 6 months 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)☆354Updated 5 years ago
- multi-agent deep reinforcement learning for networked system control.☆433Updated 5 years ago
- ☆13Updated 2 years ago
- Multi-Objective Reinforcement Learning algorithms implementations.☆468Updated 3 months ago
- ☆431Updated 2 years ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆102Updated 3 years ago
- Implementation for mSAC methods in PyTorch☆41Updated 4 years ago
- Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math☆452Updated 4 years ago
- An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.☆139Updated last year
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆96Updated 4 years ago
- Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51☆312Updated 5 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆164Updated 2 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆198Updated last year
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆167Updated 2 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆79Updated 5 years ago
- Multi-Objective Reinforcement Learning☆294Updated 4 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
- ☆220Updated 2 years ago
- Reinforcement learning tutorials☆391Updated 2 years ago
- Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch☆143Updated 5 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆243Updated 10 months ago
- Deep recurrent Q learning on CartPole-v1 environment☆95Updated last year
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆370Updated 4 years ago
- Multi-Agent Reinforcement Learning (MARL) papers with code☆409Updated 3 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- Practical tutorial on RLlib for deep hierarchical multi-agent reinforcement learning☆68Updated 3 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆223Updated 6 years ago