Deep reinforcement learning at the edge of the statistical precipice
Deep reinforcement learning (RL) algorithms are predominantly evaluated by comparing
their relative performance on a large suite of tasks. Most published results on deep RL …
their relative performance on a large suite of tasks. Most published results on deep RL …
Chainerrl: A deep reinforcement learning library
In this paper, we introduce ChainerRL, an open-source deep reinforcement learning (DRL)
library built using Python and the Chainer deep learning framework. ChainerRL implements …
library built using Python and the Chainer deep learning framework. ChainerRL implements …
Deep reinforcement learning with dqn vs. ppo in vizdoom
A Zakharenkov, I Makarov - 2021 IEEE 21st International …, 2021 - ieeexplore.ieee.org
VizDoom is a flexible and easy-to-use 3D reinforcement learning research platform based
on the well-known Doom first-person shooter. The challenge is to create bots that compete …
on the well-known Doom first-person shooter. The challenge is to create bots that compete …
Learn to move through a combination of policy gradient algorithms: Ddpg, d4pg, and td3
Abstract Deep Reinforcement Learning has recently seen progress for continuous control
tasks, driven by yearly challenges such as the NeurIPS Competition Track. This work …
tasks, driven by yearly challenges such as the NeurIPS Competition Track. This work …
Sim2real for peg-hole insertion with eye-in-hand camera
D Bogunowicz, A Rybnikov, K Vendidandi… - arXiv preprint arXiv …, 2020 - arxiv.org
Even though the peg-hole insertion is one of the well-studied problems in robotics, it still
remains a challenge for robots, especially when it comes to flexibility and the ability to …
remains a challenge for robots, especially when it comes to flexibility and the ability to …
Project proposal: A modular reinforcement learning based automated theorem prover
B Shminke - arXiv preprint arXiv:2209.02562, 2022 - arxiv.org
We propose to build a reinforcement learning prover of independent components: a
deductive system (an environment), the proof state representation (how an agent sees the …
deductive system (an environment), the proof state representation (how an agent sees the …