Alternatives and similar repositories for ADP_course_given_by_BERTSEKAS_2014_THU

Users that are interested in ADP_course_given_by_BERTSEKAS_2014_THU are comparing it to the libraries listed below

• laonahongchen / Bilevel-Optimization-in-Coordination-Game
  code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)
  ☆59Updated 5 years ago
• akifumi-wachi-4 / safe_near_optimal_mdp
  Safe Reinforcement Learning in Constrained Markov Decision Processes
  ☆60Updated 5 years ago
• zbzhu99 / Constrained-Decision-Making-Paper-List
  Paper list for constrained policy optimization in reinforcement learning.
  ☆73Updated last year
• cjdjr / T-MAAC
  Transformer-based Multi-Agent Actor-Critic Framework
  ☆46Updated 3 years ago
• GithubofRuZhang / DRO-Translation
  ☆53Updated 10 months ago
• mabolivar / adp-powell-exercises
  Approximate Dynamic Programming exercises from Powell (2011)
  ☆15Updated 2 years ago
• emliang / Multi-Agent-RL
  Paper list of multi-agent reinforcement learning (MARL)
  ☆38Updated 3 years ago
• tocom242242 / nash_q_learning
  Nash Q Learning
  ☆32Updated 4 years ago
• wadx2019 / rpo
  Official implementation for the NeurIPS 2023 paper: "Reduced Policy Optimization for Continuous Control with Hard Constraints"
  ☆41Updated last year
• wingsweihua / gym_cityflow
  Adds CityFlow to Gym
  ☆31Updated 3 years ago
• WenYuZhi / team-learning-rl
  运筹OR帷幄 强化学习学习小组
  ☆24Updated 4 years ago
• KAIST-AILab / SMAAC
  The official implementation of "Winning the L2RPN Challenge: Semi-Markov Afterstate Actor-Critic", ICLR 2021
  ☆29Updated 3 years ago
• mahaitongdae / Approximate-Dynamic-Programming
  ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.
  ☆43Updated 3 years ago
• kevinhongzl / awesome-operations-analytics
  A curated list of awesome video lectures and learning resources for operations analytics.
  ☆32Updated 4 years ago
• zpschang / DPMORL
  ☆26Updated last year
• wgshen / sOED
  Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)
  ☆20Updated 3 years ago
• shenghexu / DNN-DP
  Code for Deep Neural Network Approximated Dynamic Programming
  ☆17Updated 5 years ago
• chennnnnyize-zz / Optimal-Control-via-Neural-Networks
  Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach
  ☆83Updated 6 years ago
• xijunlee / Learning-to-Optimize-Arxiv
  The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading not…
  ☆165Updated 4 years ago
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆69Updated 4 years ago
• hossam-mossalam / multi-objective-deep-rl
  Multi-Objective Deep Reinforcement Learning
  ☆45Updated 8 years ago
• willzhang3 / MASTER-electric_vehicle_charging_recommendation
  ☆57Updated 9 months ago
• Skylark0924 / Gamma_Reward
  ☆14Updated 4 years ago
• sanketkshah / NeurADP-for-Ride-Pooling
  A simulator and learning agent to solve the ridesharing problem
  ☆36Updated 4 years ago
• ankurzing / bleaq2
  Bilevel Optimization Algorithm
  ☆43Updated 3 years ago
• ZhongZ-Wang / Model-Based-RL
  这是一个关于基于模型的强化学习的资料，包括一些代码地址、paper、slide等。
  ☆44Updated 5 years ago
• robinhenry / gym-anm
  A framework to design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution ne…
  ☆163Updated 10 months ago
• KaiYan289 / RLpapersnote
  ☆46Updated this week
• HolaHansi / game_theory
  Implementing Algorithms for Computing Stackelberg Equilibria in Security Games
  ☆42Updated 8 years ago
• wuzhy66 / ML-DAM
  Meta-Learning-based Deep Reinforcement Learning for Multiobjective Optimization Problems
  ☆38Updated last year