DeepRL-Grounding
RL Agent Trainer
Trains an RL agent to execute natural language instructions in a 3D environment using a combination of A3C and gated attention mechanisms.
Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)
237 stars
11 watching
37 forks
Language: Python
last commit: over 6 years ago a3c-lstmgated-attentionlanguage-groundingpytorchpytorch-rlreinforcement-learning
Related projects:
Repository | Description | Stars |
---|---|---|
tristandeleu/pytorch-maml-rl | Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 827 |
jingweiz/pytorch-rl | A comprehensive project that provides an implementation of deep reinforcement learning algorithms using PyTorch and Visdom. | 797 |
cpnota/autonomous-learning-library | A comprehensive library for building deep reinforcement learning agents using PyTorch | 646 |
graal-research/poutyne | A PyTorch framework simplifying neural network training with automated boilerplate code and callback utilities | 569 |
geek-ai/magent | A platform for multi-agent reinforcement learning research and development | 1,693 |
astooke/rlpyt | A modular and unified framework for implementing common deep reinforcement learning algorithms in PyTorch | 2,233 |
l0sg/relational-rnn-pytorch | An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling | 244 |
minqi/learning-to-communicate-pytorch | This project implements a PyTorch-based framework for learning discrete communication protocols in multi-agent reinforcement learning environments. | 346 |
dgriff777/rl_a3c_pytorch | An implementation of an A3C algorithm for reinforcement learning in Pytorch, with various optimizations and extensions to accelerate training. | 562 |
iffix/machin | An open-source reinforcement learning library for PyTorch, providing a simple and clear implementation of various algorithms. | 401 |
rguthrie3/deeplearningfornlpinpytorch | A comprehensive tutorial on deep learning for natural language processing with PyTorch, covering the basics and advancing to linguistic structure prediction. | 1,940 |
dmarnerides/pydlt | A PyTorch-based toolbox for building and training deep learning models with ease. | 204 |
packtpublishing/hands-on-intelligent-agents-with-openai-gym | Teaching software developers to build intelligent agents using deep reinforcement learning and OpenAI Gym | 373 |
lupoglaz/godotaigym | Enables training of reinforcement learning models with PyTorch on Godot Engine using shared memory | 214 |
google-deepmind/rlax | A Python library providing reinforcement learning building blocks for implementing agent policies and functions | 1,263 |