takuyahiraoka Goto Github PK

active-learning-for-example-based-dialog-systems

Source files to replicate experiments in my IWSDS 2016 paper.

concretedropout

Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832

d3rlpy

An offline deep reinforcement learning library

d4rl

A benchmark for offline reinforcement learning.

deep_bisim4control

Learning Invariant Representations for Reinforcement Learning without Reconstruction

dialogue-state-tracking-using-lstm

Source files to replicate experiments in my IWSDS 2016 paper.

diffrl

dm_control

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

dropout-q-functions-for-doubly-efficient-reinforcement-learning

Source files to replicate experiments in my ICLR 2022 paper.

dynamics-aware-embeddings

efficient-srgc-rl-with-a-high-rr-and-regularization

Source files to replicate experiments in my Arxiv 2023 paper.

elegantrl

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

eureka

gamepad

A Learning Environment for Theorem Proving

grounded-language-learning-in-pytorch

Implementation of Grounded Language Learning in a 3D Simulated World (DeepMind)

gym-extensions

This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement learning, etc.)

jarvis

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

learning-robust-options-by-conditional-value-at-risk-optimization

Source files to replicate experiments in my NeurIPS 2019 paper.

learning_to_adapt

Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning

list-of-differentiable--ops-and-non-differentiable-ops--in-tensorflow

marseille

Mining Argument Structures with Expressive Inference (Linear and LSTM Engines)

mbpo

Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"

mbrl-lib

Library for Model Based RL

meta-model-based-meta-policy-optimization

Source files to replicate experiments in my ACML 2021 paper.

metaworld

An open source robotics benchmark for meta- and multi-task reinforcement learning

model_ensemble_meta_learning

mopo

Code for MOPO: Model-based Offline Policy Optimization

mujoco

Multi-Joint dynamics with Contact. A general purpose physics simulator.

mujoco-maze

Simple maze environments using mujoco-py

multi-agent-reinforcement-learning-in-stochastic-games

Unofficial PyBrain extension for multi-agent reinforcement learning in general sum stochastic games.