Reward Constrained Policy Optimization Tessler, Chen, Daniel J. Mankowitz, and Shie Mannor. "Reward constrained policy optimization." arXiv preprint arXiv:1805.11074 (2018). 亮点 本文不仅支持以discounted sum表示的约束,也支持mean value constraints,即这种形式的约束: E[(∑tTct)/T]≤α 本工作是re...
For example, in the autonomous driving task, the policy actuated by speed reward behaves much more sudden brakes while human drivers generally don't do that. To overcome this problem, we present a novel method named Reward-Constrained Behavior Cloning (RCBC) which synthesizes imitation learning ...
至关重要的是,我们提出的方法不需要实际的物理部署,也不需要准确的模拟器来进行 reward learning 或 policy optimization steps,而只需要 offline data 就可以了。 benchmark: 为了测试我们的方法,首先评估现有的 offline RL benchmark 是否适合 offline reward learning。
Direct Preference-based Policy Optimization without Reward Modeling (NeurIPS 2023) Official implementation of Direct Preference-based Policy Optimization without Reward Modeling, NeurIPS 2023. Installation Note: Our code was tested on Linux OS with CUDA 12. If your system specification differs (e.g., ...
Reward-Constrained Behavior Cloning These undesirable behaviors of agents may not reduce the total reward but destroy the user experience of the application. For example, in the autonomous driving task, the policy actuated by speed reward behaves much more sudden brakes ... Z Wang,M Wang,J Zhang...
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks Sungryull Sohn, Sungtae Lee, Jongwook Choi, Harm van Seijen, Honglak Lee, Mehdi Fatemi 2021 International Conference on Machine Learning|May 2021 Publication We propose the k-Shortest-Path (k-SP) c...
We consider constrained Markov decision processes (MDPs) with compact state and action spaces under long-run average reward or cost criteria, and give the characterization of an optimal pair of initial state distribution and policy, which maximize over all policies the essential infimum of the ...
A constrained non-negative matrix factorization (cNMF) algorithm was employed to extract neuronal activities from a time-series of images (CaImAn package for MATLAB, Pnevmatikakis et al., 2016, https://github.com/flatironinstitute/CaImAn-MATLAB). Automatically extracted neuronal activities that did ...
CONSTRAINED MARKOV DECISION PROCESSES WITH EXPECTED TOTAL REWARD CRITERIA In this paper, we investigate a Markov decision process with constraints on a Borel state space with the expected total reward criterion. Assuming that the... ANAS Jaskiewicz - 《Siam Journal on Control & Optimization》 被引...
As is well known, RBC founders are less constrained from presenting overly optimistic opinions in the Story section. Investors face substantial costs in assessing and verifying project information in the noise-intensive RBC environment. The overly optimistic tone used in the Story section can lead to...