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## Habitat-Lab and Habitat-Sim versions
Habitat-Lab: nightly
Habitat-Sim: master
## ❓ Questions and Help
Hi, Thank you for your brilliant work on this simulator.
I am currently working on…
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is there a reason why the agents were implemented this way?
any paper that proves that it gives an advantage over the "normal" method (if bought/sold true -> only close position or nothing)?
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- [ ] I have marked all applicable categories:
+ [ ] exception-raising bug
+ [ ] RL algorithm bug
+ [ ] documentation request (i.e. "X is missing from the documentation.")
+ [x] ne…
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# Summary
#### Link
[Learning Invariant Representations for Reinforcement Learning without Reconstruction](https://arxiv.org/abs/2006.10742)
#### Author/Institution
Amy Zhang, Rowan McAllister…
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Hello, I am currently organizing a reinforcement learning-based competition where participants submit their agents via Python scripts which are then automatically evaluated, as defined by our custom D…
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Hi, when I train intelligences for air combat missions using reinforcement learning algorithms, the "enemy aircraft" that the intelligences pair with are outputting maneuvers using your IA model. At t…
puxd updated
5 months ago
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Dear author; thank you for your great work.
I have 2 question about sb3_highway_dqn example, please guide me:
1- How can I extract graphs related to reinforcement learning? (I mean the 3 presented…
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If you're unfamiliar with eligibility traces, they basically unify temporal-difference learning with monte carlo methods -- essentially you hold a buffer in memory of an agent's experience and perform…