takuyahiraoka Goto Github PK

oyster

Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

pianoplayer

Automatic fingering generator for piano scores

pomdp-baselines

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

ppoc

Proximal Policy Option-Critic

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

redq

Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.

reinforcement-learning-in-multi-party-trading-dialog

Source files to replicate experiments in my SigDial 2015 and JSAI papers.

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

rltorch

A simple framework for distributed reinforcement learning in PyTorch.

robopianist

🎹 🤖 A benchmark for high-dimensional robot control.

robopianist-rl

robustrl

Robust policy search algorithms which train on model ensembles

snail-pytorch

Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch

soft-actor-critic-and-extensions

PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.

soft-actor-critic.pytorch

A PyTorch implementation of Soft Actor-Critic(SAC).

sparsebaseline

takuyahiraoka.github.io

tensor2robot

Distributed machine learning infrastructure for large-scale robotics research

toolbench

An open platform for training, serving, and evaluating large language model for tool learning.

truepie

which-experiences-are-influential-for-your-agent

Source files to replicate experiments in my ArXiv 2023 paper.