Alternatives and similar repositories for rl-traingenerator

Users that are interested in rl-traingenerator are comparing it to the libraries listed below

• instance01 / fish-rl-alife
  Running RL algorithms on the fish/shark aquarium environment to find unexpected biological insights.
  ☆10Updated 4 years ago
• WonJoon-Yun / Quantum-Multi-Agent-Reinforcement-Learning
  Quantum Multi-agent Reinforcement Learning (QMARL)
  ☆41Updated 3 years ago
• qdevpsi3 / qrl-dqn-gym
  PennyLane/PyTorch implementation of Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning (Skolik et al., 2021)
  ☆38Updated 2 years ago
• soumik12345 / DDPG
  Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Control
  ☆26Updated 3 years ago
• chagmgang / distributed_reinforcement_learning
  implementation of distributed reinforcement learning with distributed tensorflow
  ☆57Updated 4 years ago
• jihoonerd / Deep-Reinforcement-Learning-with-Double-Q-learning
  📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️
  ☆59Updated last year
• ita9naiwa / TSP-solver-using-reinforcement-learning
  Solving Traveling Salesman Problem with reinforcement learning...
  ☆56Updated 6 years ago
• metarl / awesome-metarl
  A curated list of awesome Meta Reinforcement Learning
  ☆33Updated 5 years ago
• PatrickKorus / mcts-general
  General Python implementation of Monte Carlo Tree Search for the use with Open AI Gym environments.
  ☆41Updated 5 years ago
• alirezakazemipour / Continuous-PPO
  Proximal Policy Optimization (Continuous Version) in PyTorch.
  ☆29Updated 8 months ago
• qlan3 / QuantumExplorer
  A quantum reinforcement learning framework based on PyTorch and PennyLane.
  ☆29Updated last year
• uidilr / bayesian_irl
  Bayesian Inverse Reinforcement Learning with simple environments
  ☆19Updated 3 years ago
• BY571 / Munchausen-RL
  PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN
  ☆45Updated 5 years ago
• cyoon1729 / distributedRL
  A framework for easy prototyping of distributed reinforcement learning algorithms
  ☆96Updated 5 years ago
• nikhil3456 / Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces
  PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…
  ☆71Updated 6 years ago
• shakti365 / soft-actor-critic
  TF2 Implementation of the Soft Actor-Critic Algorithm
  ☆44Updated 3 years ago
• nicofirst1 / rl_werewolf
  RL environment replicating the werewolf game to study emergent communication
  ☆20Updated 2 years ago
• ASzot / ppo-pytorch
  Proximal policy optimization in PyTorch. Easy to read and understand.
  ☆51Updated 5 years ago
• Mateus224 / Visual-Explanation-in-Deep-Reinforcement-Learning
  This project visualizes the knowledge of an agent trained by Deep Reinforcement Learning (paper will be published) using Backpropagation,…
  ☆18Updated 5 years ago
• harvard-edge / QuaRL
  QuaRL is an open-source framework for systematically studying the effect of applying quantization to reinforcement learning algorithms.
  ☆79Updated 2 years ago
• stefanbo92 / A3C-Continuous
  Tensorflow implementation of the asynchronous advantage actor-critic (a3c) reinforcement learning algorithm for continuous action space
  ☆46Updated 8 years ago
• 0xangelo / raylab
  Reinforcement learning algorithms in RLlib
  ☆59Updated last year
• mila-iqia / Conscious-Planning
  Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".
  ☆60Updated last year
• shaktikshri / adaptiveSystems
  RL CIRL Research
  ☆13Updated 3 years ago
• chagmgang / tf2.0_reinforcement_learning
  Basic reinforcement learning implementation with tensorflow version 2.0
  ☆52Updated 5 years ago
• ChuaCheowHuan / reinforcement_learning
  My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.
  ☆37Updated 2 years ago
• ingambe / RayEnvWrapper
  OpenAi's gym environment wrapper to vectorize them with Ray
  ☆23Updated 2 years ago
• Guillaume-Cr / lunar_lander_per
  ☆17Updated 5 years ago
• jcoreyes / evolvingrl
  Supplementary Data for Evolving Reinforcement Learning Algorithms
  ☆47Updated 4 years ago
• Ankur-Deka / Emergent-Multiagent-Strategies
  Emergence of complex strategies through multiagent competition
  ☆45Updated 3 years ago