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RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
Simple and easily configurable grid world environments for reinforcement learning
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉
Python Implementation of Reinforcement Learning: An Introduction
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)
This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
Single notebook implementation of Deep RL algorithms