Deep-Reinforcement-Learning-Algorithms-with-PyTorch

Deep-Reinforcement-Learning-Algorithms-with-PyTorch copied to clipboard

DDPG Acting Deterministically

1

Hi, I've been using the DDPG implementation on the pyBullet implementation of RaceCar (https://github.com/bulletphysics/bullet3/blob/master/examples/pybullet/gym/pybullet_envs/bullet/racecar.py) after wrapping for compatibility with this repo. When running some basic experiments (essentially the same as...

JohnBurden

Getting Nan as reward in training in PPO

2

Hi, I ran the provided results code for mountain car. After some number of episodes the reward returned starts being Nan and training essentially stops. In the final graph the...

JohnBurden

Add the A3C algorithm described in paper https://arxiv.org/pdf/1602.01783.pdf

p-christ

Hello! I have a question on the discrete SAC design. What was the reasoning for choosing the target entropy in the discrete SAC? If I understand correctly the target entropy...

aivarsoo

to now, does thie repo not support atari games? only support envs you listed in the readme file?

GongYanfu

Bumps [torch](https://github.com/pytorch/pytorch) from 0.4.1.post2 to 2.2.0. Release notes Sourced from torch's releases. PyTorch 2.2: FlashAttention-v2, AOTInductor PyTorch 2.2 Release Notes Highlights Backwards Incompatible Changes Deprecations New Features Improvements Bug fixes...

dependabot[bot]

Hi， I want to use SAC algorithm in MultiDiscrete action space. In Discrete action space, the actor loss is calculated as follows: https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch/blob/4835bac8557fdacff1735eca004e35ea5a4b7443/agents/actor_critic_agents/SAC_Discrete.py#L83-L88 In MultiDiscrete action space, the shapes of...

olivia2222