-
It seems to me that the buffer never samples the last added experience record. The code below shows that: Only the index of the first experience record are in the set, the second record (the one with …
-
Current design is the most basic architecture for deep RL. Followings are some improvements which can be made for Q-learning.
- [x] Experience Replay
- [x] Usage of 'Targent Network' (See deepmind…
-
**Important Note: We do not do technical support, nor consulting** and don't answer personal questions per email.
Please post your question on the [RL Discord](https://discord.com/invite/xhfNqQv), [R…
-
[Distributed Prioritized Experience Replay](https://arxiv.org/abs/1803.00933)
Hyper parameters are shown in appendix D
-
- [Distributed Prioritized Experience Replay](https://arxiv.org/abs/1803.00933)
- Current implementation works only for DDPG variants, so extends it to work with DQN like agent
-
Hi Reverb team,
I am interested in using a prioritized experience replay on top of an Acme agent that inserts a new experience by setting the priority to the current maximum priority in the buffer…
-
## Motivation
Since in the original [PER paper](https://arxiv.org/abs/1511.05952) the parameter beta is changing its value during the training, it would be desirable to be able to perform similar e…
-
hey. wonderful work sir.
i have read your report also. you mentioned about dqn and Double DQN. if you don't mind can i also look into those implementation? just want to see clear picture of the loo…
-
The proportional code looks like it divides the importance sampling weights by the maximum weight in the sample (https://github.com/takoika/PrioritizedExperienceReplay/blob/master/proportional.py#L84)…
-
It would be really nice if we could have an example that re-implements the original [DQN ](https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf) paper exactly. The Ms. PacMan one is pretty close but AFAIK i…