Icq
Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS 2021 Spotlight https://arxiv.org/abs/2106.03400)
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Pomdps.jl | 616 | 4 months ago | 25 | other | Julia | |||||
| MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces. | ||||||||||
| Contextual | 47 | 4 years ago | 6 | July 25, 2020 | 2 | R | ||||
| Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies | ||||||||||
| Icq | 41 | 2 years ago | 3 | Python | ||||||
| Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS 2021 Spotlight https://arxiv.org/abs/2106.03400) | ||||||||||
| Sfbc | 33 | 7 months ago | Python | |||||||
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| Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction （ICML 2023） | ||||||||||
| Srpo | 11 | 5 months ago | mit | Python | ||||||
| Codes accompanying the paper "Score Regularized Policy Optimization through Diffusion Behavior" | ||||||||||
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| [CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning | ||||||||||
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| Dataset Batch(offline) Reinforcement Learning for recommender system | ||||||||||
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Python
Pytorch
Reinforcement Learning
Offline
Deep Reinforcement Learning