SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
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Updated
Nov 29, 2022 - Python
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
Reinforcement learning with unsupervised auxiliary tasks
An API conversion tool for popular external reinforcement learning environments
Tensorflow implementation of DeepMind paper - "Learning to Navigate in Complex Environments"
The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.
A Test-Implementation of the IMPALA algorithm (by deepmind 2018)
Official Implementation of NeurIPS'23 Paper "Cross-Episodic Curriculum for Transformer Agents"
Reinforcement learning in 3D.
PyTorch implementation of two variants of the Harlow visual fixation task (PsychLab and 1D version). Reproduces the results found in two papers. Check the ReadMe for more details!
Official repository for the paper "Exploring the Promise and Limits of Real-Time Recurrent Learning" (ICLR 2024)
CS 238 Final Project: Deep Reinforcement Learning Agents that Run with Scissors
Using deepmind lab for RL
A customizable 3D platform for agent-based AI research
Docker hub for easily setting up reinforcement learning research environment
Projet IAR master 2 ANDROIDE : 2021 - 2022 Projet d'introduction au méta reinforcement learning codé en Python
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