[ICLR 2025 Oral] PyTorch code for the paper "Open-World Reinforcement Learning over Long Short-Term Imagination"

A Simplified Pytorch Version of the Dreamer Algorithm

Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024

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Simplistic Pytorch Implementation of the Dreamer-RL

Official implementation of the Informed Dreamer algorithm, based on DreamerV3

General-Purpose Reinforcement Learning

C++ Deep Reinforcement Learning Agent library

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From-scratch PyTorch implementation of DreamerV4 (Hafner et al., 2024): masked-autoencoder tokenizer, block-causal flow-matching dynamics with bootstrap curriculum, agent-token finetuning, and PMPO imagination RL. Hardened for TPU v4 / torch_xla with fixed-shape graphs, on-device RNG, and bounded compile-cache footprint.

[ICLR 2025 Oral] PyTorch code for the paper "Open-World Reinforcement Learning over Long Short-Term Imagination"

Dynamics-Aligned Latent Imagination in Contextual World Models for Zero-Shot Generalization

Attention-based CNN-LSTM model - ICMLA 2024

The implementation of pytorch-based DreamerV3 for Meta-world simulator.

Trains a deep reinforcement learning agent in simulation testbed environments with the DRLA library.

A Study on Reinforcement Learning in Starcraft Game Platform as a Collaborative Researcher of Samsung Company.

A Python, Shell, Dockerfile project focusing on dreamer grpo with machine learning features

Openclaws dreaming via SQL

Trains deep reinforcement learning agents in Atari environments via the DRLA library.

Lucid Dream Memoir