rlcode / perLinks
Prioritized Experience Replay (PER) implementation in PyTorch
☆346Updated 5 years ago
Alternatives and similar repositories for per
Users that are interested in per are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of SAC-Discrete.☆307Updated 11 months ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆317Updated 3 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆756Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆553Updated 3 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆501Updated 2 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆636Updated 4 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆705Updated 2 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆757Updated last year
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆288Updated 4 years ago
- PyTorch implementation of soft actor critic☆894Updated 3 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆594Updated 7 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆496Updated 2 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆300Updated last year
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 5 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆717Updated 3 years ago
- A collection of multi agent environments based on OpenAI gym.☆606Updated last year
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆316Updated 2 years ago
- Mean Field Multi-Agent Reinforcement Learning☆396Updated 5 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆218Updated 2 years ago
- Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51☆303Updated 5 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆643Updated 5 years ago
- This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.☆433Updated 3 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆551Updated 2 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆665Updated 7 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- Code for conservative Q-learning☆448Updated 3 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆354Updated 6 years ago
- PyTorch implementation of Trust Region Policy Optimization☆441Updated 6 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆495Updated 3 years ago
- Simple Cartpole example writed with pytorch.☆169Updated 5 years ago