jcborges / dqn-perLinks
Deep Q-Network (DQN) with Prioritized Experience Replay (PER)
☆17Updated 6 years ago
Alternatives and similar repositories for dqn-per
Users that are interested in dqn-per are comparing it to the libraries listed below
Sorting:
- Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51☆319Updated 5 years ago
- ☆187Updated 3 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆71Updated 8 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
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆67Updated 6 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆231Updated 6 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆96Updated 4 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆294Updated 4 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆678Updated 6 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆359Updated 6 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆105Updated 5 years ago
- PyTorch implementation of SAC-Discrete.☆314Updated last year
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆355Updated 5 years ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆169Updated last year
- multi-agent deep reinforcement learning for networked system control.☆438Updated 5 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆55Updated 4 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆169Updated 2 years ago
- ☆91Updated 4 years ago
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆379Updated 4 years ago
- very easy implementation of dueling DQN in pytorch☆74Updated 3 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆612Updated 8 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆785Updated 3 years ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆315Updated 3 years ago
- The code for maddpg using pytorch☆168Updated 5 years ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆420Updated 4 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 7 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆670Updated 3 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆122Updated 5 years ago
- Adaptive Attention Span for Reinforcement Learning☆136Updated 5 years ago