World Models applied to the Open AI Sonic Retro Contest
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Updated
Jun 30, 2018 - Python
World Models applied to the Open AI Sonic Retro Contest
Attempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more work needed
PyTorch World Model implementation with PPO.
World Models with A3C on Carracing-v0 in gym
A reinforcement learning project for crowd-dynamics in a very narrow corridor
A new version of world models using Echo-state networks and random weight-fixed CNNs
Clockwork VAEs in JAX/Flax
Dream to Control: Learning Behaviors by Latent Imagination
Dreamer on JAX
A structured implementation of MuZero
Pytorch implementation of DreamerV2: Mastering Atari with Discrete World Models, based on the original implementation
Learning Robust Dynamics Through Variational Sparse Gating
DayDreamer: World Models for Physical Robot Learning
Deep Hierarchical Planning from Pixels
Mastering Atari with Discrete World Models
Transformer-based World Models
VQ-VAE-based image tokenizer for model-based RL
Master's thesis project on learning stateful simulations with deep differentiable models. The focus is to train a neural network to simulate a game (PONG) end-to-end.
Source code for Master's Thesis: Curiosity-driven Planning with Reinforcement Learning.
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