Alternatives and similar repositories for Team-Anonymous-BTS

Users that are interested in Team-Anonymous-BTS are comparing it to the libraries listed below

• uidilr / bayesian_irl
  Bayesian Inverse Reinforcement Learning with simple environments
  ☆20Updated 3 years ago
• aaronsnoswell / irl_methods
  High-quality reference implementations of various algorithms for Inverse Reinforcement Learning
  ☆12Updated 7 years ago
• francidellungo / Minigrid_HCI-project
  Train agents on MiniGrid from human demonstrations using Inverse Reinforcement Learning
  ☆13Updated 5 years ago
• uidilr / deepirl_chainer
  Implementation of GAIL and AIRL using chinerrl
  ☆17Updated 3 years ago
• yasufumy / python_irl
  Basic Inverse Reinforcement Learning method in Python
  ☆9Updated 7 years ago
• hpmsxjtu / PHASE
  PHASE(Parallel High-performence Agent-based Simulation Environment)
  ☆9Updated 5 years ago
• mvcisback / gridworld-visualizer
  Small library for visualizing gridworlds by generating svgs styled and animated by css.
  ☆11Updated 6 years ago
• sunghoonhong / VI-GAIL
  Video Input Generative Adversarial Imitation Learning
  ☆7Updated 5 years ago
• kokikwbt / MLDS
  Python implementation of multilinear dynamical systems for tensor time series (NIPS'13)
  ☆12Updated 3 years ago
• kevin-hanselman / grid-world-rl
  Value iteration, policy iteration, and Q-Learning in a grid-world MDP.
  ☆29Updated last year
• EliorBenYosef / evolutionary-algorithms
  Evolutionary Algorithms implementations, for various (discrete & continuous) optimization problems, including for autonomous agent contro…
  ☆13Updated 10 months ago
• ttajmajer / morl-dv
  Modular Multi-Objective Reinforcement Learning with Decision Values
  ☆24Updated 2 years ago
• jetnew / SlimeRL
  Code repository for the research project "You Play Ball, I Play Ball: Bayesian Multi-Agent Reinforcement Learning for Slime Volleyball", …
  ☆17Updated 4 years ago
• laurimi / multiagent-prediction-reward
  Multi-agent active perception with prediction rewards
  ☆11Updated 4 years ago
• tsyet12 / EvoOpt
  Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.
  ☆13Updated 3 years ago
• namanUIUC / NonlinearComponentAnalysis
  Application of principal component analysis capturing non-linearity in the data using kernel approach
  ☆8Updated 6 years ago
• louaaron / GAN-Q-Learning
  Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874
  ☆47Updated 4 years ago
• uber-research / MARVIN
  Uber's Multi-Agent Routing Value Iteration Network
  ☆65Updated 4 years ago
• txzhao / rl-zoo
  PyTorch implementation of various reinforcement learning algorithms
  ☆18Updated 7 years ago
• mike-gimelfarb / bayesian-reward-shaping
  Bayesian Reward Shaping Framework for Deep Reinforcement Learning
  ☆23Updated 6 years ago
• IBM / distributed-evolutionary-ml
  A tool for experimenting with evolutionary optimization methods for machine learning algorithms, by distributing the workload over a larg…
  ☆13Updated 6 years ago
• cathywu / rllab-multiagent
  ☆11Updated 2 years ago
• TARTRL / RankingCost
  The Ranking Cost algorithm for multi-path routing of gridworld.(多智能体路径规划，电路规划)
  ☆20Updated 3 years ago
• JorgeCeja / evolution-strategies
  🦾Distributed Natural Evolution Strategies Build with PyTorch and Ray
  ☆18Updated 6 years ago
• sintefneodroid / agent
  Examples of agents for neodroid environments 💡
  ☆11Updated 2 months ago
• MUmarJaved / MultiAgent-Distributed-Reinforcement-Learning
  ☆20Updated 5 years ago
• adipandas / SmallWorldNetCA
  Small world networks in Cellular Automata
  ☆18Updated 4 years ago
• jinzhuyu / ICOSSAR2021-NetworkResilienceAssessment
  Code for the ICOSSAR 2021 paper titled Comparing Topology-based and Flow-based Resilience Assessment of Interdependent Infrastructure Net…
  ☆13Updated last year
• sysuits / urban-traffic-speed-dataset-Guangzhou
  A dataset for understanding urban transportation. This is an urban traffic speed dataset, which consists of 214 anonymous road segments w…
  ☆31Updated 7 years ago
• omargup / neural_combinatorial_optimization
  A peper list for machine learning models solving combinatorial problems, NP-hard problems and problems in graphs.
  ☆13Updated 4 years ago