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Transformer Reinforcement Learning
Leandro von Werra tells us about his new library which enables you to fine-tune GPT-2 towards a higher-level objective (sentiment of the generated text).
transformers reinforcement-learning natural-language-processing video
Python Implementation of Reinforcement Learning: An Introduction
Plot replications, exercise solutions and Anki flashcards for the entire book by chapters.
reinforcement-learning code book tutorial
Reinforcement Learning Tutorial
Important reinforcement learning (RL) algorithms, including policy iteration, Q-Learning, and Neural Fitted Q.
reinforcement-learning tutorial notebook code
Rlx: A modular Deep RL library for research
"rlx" is a Deep RL library written on top of PyTorch & built for educational and research purpose.
reinforcement-learning deep-learning article code
NetHack Learning Environment (NLE)
A procedurally-generated grid-world dungeon-crawl game that strikes a great balance between complexity and speed for single-agent RL research.
reinforcement-learning game nethack gym
Automatic Data Augmentation for Generalization in Deep RL
We compare three approaches for automatically finding an appropriate augmentation combined with two novel regularization terms for the policy and value ...
data-augmentation reinforcement-learning kornia pytorch
Plan2Explore: Plan to Explore via Self-Supervised World Models
A self-supervised reinforcement learning agent that tackles task-specific and the sample efficiency challenges.
self-supervised-learning reinforcement-learning plan2explore article
Deep Reinforcement Learning Amidst Lifelong Non-Stationarity
How can robots learn in changing, open-world environments? We introduce dynamic-parameter MDPs, to capture environments with persistent, unobserved ...
reinforcement-learning non-stationarity off-policy markov-decision-process
Building AI Trading Systems
Lessons learned building a profitable algorithmic trading system using Reinforcement Learning techniques.
trading finance machine-learning algorithmic-trading
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