cocolico14 / N-step-Dueling-DDQN-PER-Pacman
Using N-step dueling DDQN with PER for playing Pacman game
☆21Updated 4 years ago
Related projects: ⓘ
- ☆175Updated 2 years ago
- BranchingDQN☆48Updated 5 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆307Updated 4 years ago
- Using pytorch to implement DQN / DDQN / Atari DDQN☆36Updated 6 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆173Updated last year
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆87Updated 3 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆27Updated 3 years ago
- ☆81Updated 2 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆63Updated 5 years ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆96Updated 2 years ago
- Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51☆268Updated 4 years ago
- ☆39Updated 2 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆92Updated 4 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆128Updated 5 years ago
- Code for Weighted QMIX☆119Updated 3 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆64Updated last month
- Using the deep reinforcement learning algorithm A3C to train my agent to play the Atari game Breakout!☆32Updated 5 years ago
- Deep Reinforcement Learning with DQN, Double DQN, Dueling DQN, Noisy Net (Noisy DQN), and DQN with Prioritized Experience Replay☆92Updated 4 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆265Updated 3 years ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆296Updated last year
- Prioritized Experience Replay (PER) implementation in PyTorch☆302Updated 4 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆122Updated 10 months ago
- Simple Cartpole example writed with pytorch.☆164Updated 4 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆92Updated 5 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆119Updated 3 years ago
- The implement of the policy gradient RL algorithm with pytorch☆37Updated 3 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆98Updated 3 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆185Updated 5 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆134Updated last year
- PyTorch implementation of FQF, IQN and QR-DQN.☆158Updated last month