Popular GitHub Repositories for Experience Replay

Repository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".

A reinforcement learning agent trained without prior human knowledge

Framework for developing Actor-Critic deep RL algorithms (A3C, A2C, PPO, GAE, etc..) in different environments (OpenAI's Gym, Rogue, Sentiment Analysis, Car Controller, etc..) with continuous and discrete action spaces.

RBDoom is a Rainbow-DQN based agent for playing the first-person shooter game Doom

Off-Policy Correction for Actor-Critic Algorithms in Deep Reinforcement Learning

RL with OpenAI Gym

Towards Rehearsal-based Continual Learning at Scale: distributed CL using Horovod + PyTorch on up to 128 GPUs

Safe and Robust Experience Sharing for Deterministic Policy Gradient Algorithms

Lunar Lander training using Deep-Q-Learning

Reinforcement learning of point to point reaching

Observe your machine learning to play a video game

Deep RL agents for the MiniGrid 6 Rooms. Implements DQN, Double DQN, Huber Loss, Soft Updates, PER, and Actor-Critic. Best model solves 90% of episodes with improved training stability.

a reinforcement learning agent can play laser hockey