Alternatives and similar repositories for Optimal-bidding-policy-using-Policy-Gradient-in-a-Multi-agent-Contextual-Bandit-setting

Users that are interested in Optimal-bidding-policy-using-Policy-Gradient-in-a-Multi-agent-Contextual-Bandit-setting are comparing it to the libraries listed below

• vignesh-viswanathan / Bayesian-Stackelberg-Games
  The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.
  ☆27Updated 6 years ago
• venktesh22 / ExpressLanes_Deep-RL
  ☆26Updated 4 years ago
• MUmarJaved / MultiAgent-Distributed-Reinforcement-Learning
  ☆20Updated 5 years ago
• apourchot / ERL-pytorch
  Combining Evolutionary Algorithms and deep Reinforcement Learning
  ☆16Updated 6 years ago
• Lunj12 / RL-Bandits-with-Knapsacks
  Dynamic Pricing BwK Problem and Reinforcement Learning
  ☆31Updated 6 years ago
• YRussac / WeightedLinearBandits
  Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"
  ☆17Updated 5 years ago
• Riashat / Bayesian-Exploration-Deep-RL
  Bayesian Uncertainty Exploration in Deep Reinforcement Learning
  ☆18Updated 7 years ago
• rlchina / rlchina.github.io
  ☆10Updated 4 years ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆35Updated 5 years ago
• fmaxgarcia / Meta-MDP
  ☆11Updated 5 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆16Updated 6 years ago
• Nikunj-Gupta / FCMADRL
  Fully Cooperative Multi-Agent Deep Reinforcement Learning
  ☆27Updated 5 years ago
• verystrongjoe / qmix
  qmix
  ☆22Updated 5 years ago
• jupadhya1 / REINFORCEMENT-LEARNING
  Reinforcement Learning (RL), allows you to develop smart, quick and self-learning systems in your business surroundings. It is an effecti…
  ☆11Updated 5 years ago
• HolaHansi / game_theory
  Implementing Algorithms for Computing Stackelberg Equilibria in Security Games
  ☆42Updated 8 years ago
• Sadie-Zhao / Zero-Sum-Stochastic-Stackelberg-Games-NeurIPS
  This is the code repository for the paper "Zero-Sum Stochastic Stackelberg Games".
  ☆15Updated 2 years ago
• kshitija2 / Interactive-Multi-objective-Reinforcement-Learning
  Multi-objective reinforcement learning deals with finding policies for tasks where there are multiple distinct criteria to optimize for. …
  ☆22Updated 6 years ago
• sailik1991 / StackelbergEquilibribumSolvers
  Solves a Mixed Integer Linear Program to generate the Stacklberg Equilibrium of a General-sum (+Bayesian) Games.
  ☆36Updated 5 years ago
• ying-wen / malib_deprecated
  A Multi-agent Learning Framework
  ☆62Updated 4 years ago
• krasheninnikov / max-causal-ent-irl
  Maximum Causal Entropy Inverse Reinforcement Learning
  ☆47Updated 6 years ago
• chaovven / maab
  Code for "A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising" WSDM 2022
  ☆23Updated 3 years ago
• sjtuhuoda / LearningforAuctionPapers
  ☆17Updated 3 years ago
• Riashat / Q-Learning-SARSA-Policy-and-Value-Iteration
  Implementation of basic reinforcement learning algorithms (Q-learning, SARSA, Policy iteration and Value Iteration) on benchmark RL MDPs …
  ☆38Updated 9 years ago
• doandongnguyen / autoscaling
  Fuzzy Deep Reinforcement Learning for autoscaling on clouds
  ☆9Updated 4 years ago
• mike-gimelfarb / bayesian-reward-shaping
  Bayesian Reward Shaping Framework for Deep Reinforcement Learning
  ☆23Updated 6 years ago
• PKU-RL / FEN
  FEN Code
  ☆37Updated 5 years ago
• ThousandOfWind / DRL-baseline
  Re-produce DQN, REINFORCE, REINFORCE with baseline, one-step AC, QAC, QAC with shared network, PPO2, DDPG, TD3, SAC, SAC discrete，A2C，A3C
  ☆19Updated 4 years ago
• mechanism-learning-research / two-player-auctions
  JAX/Haiku implementation of "Auction Learning as a Two-Player Game"
  ☆10Updated 11 months ago
• bramdemoor-BE / Reward-shaping-to-improve-the-performance-of-DRL-in-inventory-management
  Link to paper: https://www.ssrn.com/abstract=3804655
  ☆12Updated 3 years ago
• LarrySnyder / RLforInventory
  Materials for "RL for Inventory Optimization", Day 4 of the "RL for Operations Bootcamp", Kellogg School of Management, Northwestern Univ…
  ☆16Updated 11 months ago