GenRL is a PyTorch reinforcement learning library centered around reproducible, generalizable algorithm implementations and improving accessibility in Reinforcement Learning. GenRL's …

Using Shared Parameters in Actor Critic Agents in GenRL; Vanilla Policy Gradient (VPG) Saving and Loading Weights and Hyperparameters with GenRL

Jun 26, 2024 · The resulting agent learning framework, GenRL, allows one to specify tasks through vision and/or language prompts, ground them in the embodied domain's dynamics, …

Bases: genrl.core.values.MlpValue. reset_noise → None [source] ¶ Resets noise for any Noisy layers in Value function. class genrl.core.values.MlpValue (state_dim: int, action_dim: int = …

GenRL is compatible with Python 3.6 or later and also depends on pytorch and openai-gym. The easiest way to install GenRL is with pip, Python’s preferred package installer.

GenRL: Multimodal-foundation world models for generalization in embodied agents Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Aaron Courville, Sai Rajeswar

In this work, we present GenRL, a novel approach requiring no language annotations that allows training agents to solve multiple tasks from visual or language prompts.

[NeurIPS 2024] GenRL: Multimodal-foundation world models enable grounding language and video prompts into embodied domains, by turning them into sequences of latent world model …

Aug 27, 2020 · Reinforcement learning research is moving faster than ever before. In order to keep up with the growing trend and ensure that RL research remains reproducible, GenRL …

GenRL is a PyTorch reinforcement learning library centered around reproducible and generalizable algorithm implementations. I am currently integrating various Deep and Classical …