danuo / rocket-meister

Related projects: ⓘ

• igilitschenski / multi_car_racing
  An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.
  ☆71Updated 2 years ago
• damat-le / gym-simplegrid
  Simple Gridworld Gymnasium Environment
  ☆41Updated 2 months ago
• ArnaudFickinger / gym-multigrid
  Lightweight multi-agent gridworld Gym environment
  ☆193Updated last year
• aaronsnoswell / unimodal-irl
  Algorithms for Uni-Modal Inverse Reinforcement Learning
  ☆17Updated last year
• jihoonerd / Deep-Reinforcement-Learning-with-Double-Q-learning
  📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️
  ☆48Updated 4 months ago
• uidilr / bayesian_irl
  Bayesian Inverse Reinforcement Learning with simple environments
  ☆17Updated 2 years ago
• dimikout3 / MarsExplorer
  ☆55Updated 2 years ago
• Ankur-Deka / Emergent-Multiagent-Strategies
  Emergence of complex strategies through multiagent competition
  ☆40Updated last year
• elbecerrasoto / gym-cellular-automata
  Cellular Automata Environments for Reinforcement Learning
  ☆35Updated last year
• linesd / tabular-methods
  Tabular methods for reinforcement learning
  ☆34Updated 4 years ago
• jakegrigsby / deep_control
  Deep Reinforcement Learning for Continuous Control in PyTorch
  ☆92Updated 2 years ago
• BY571 / DQN-Atari-Agents
  DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…
  ☆119Updated 3 years ago
• araffin / rl-handson-rlvs21
  Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.
  ☆48Updated last year
• NotAnyMike / gym
  An improvement of CarRacing-v0 from OpenAI Gym in order to make the environment complex enough for Hierarchical Reinforcement Learning
  ☆69Updated 8 months ago
• erikdelange / Reinforcement-Learning-Maze
  Various ways to learn a computer to escape from a maze. From random walk to a simple neural network.
  ☆87Updated 2 years ago
• Stanford-ILIAD / CARLO
  2D Driving Simulator
  ☆100Updated 6 months ago
• kandouss / marlgrid
  Gridworld for MARL experiments
  ☆137Updated 3 years ago
• AntoineTheb / RNN-RL
  Experiments with reinforcement learning and recurrent neural networks
  ☆111Updated 10 months ago
• bark-simulator / bark-ml
  Gym environments and agents for autonomous driving.
  ☆92Updated 7 months ago
• qzed / irl-maxent
  Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
  ☆218Updated 5 months ago
• dosssman / GymTorcs
  A Gym wrapper for the Torcs Racing car simulator
  ☆31Updated 2 years ago
• dynamik1703 / gym_longicontrol
  A new Reinforcement Learning Environment
  ☆33Updated 3 years ago
• fschur / DDQN-with-PyTorch-for-OpenAI-Gym
  Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.
  ☆64Updated last month
• tjwhitaker / human-level-control-through-deep-reinforcement-learning
  Deep Q Networks
  ☆54Updated 5 years ago
• Farama-Foundation / momaland
  Benchmarks for Multi-Objective Multi-Agent Decision Making
  ☆51Updated last month
• moratodpg / imp_marl
  IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
  ☆35Updated last week
• Stable-Baselines-Team / rl-colab-notebooks
  Colab notebooks part of the documentation of Stable Baselines reinforcement learning library
  ☆201Updated last year
• ffelten / CrazyRL
  JAX and PZ RL envs + algorithms for swarms of CrazyFlies
  ☆57Updated 3 weeks ago
• namoshizun / PyPOMDP
  Python implementation of POMDP framework and PBVI & POMCP algorithms.
  ☆97Updated 3 years ago
• axelbr / racecar_gym
  A gym environment for a miniature racecar using the pybullet physics engine.
  ☆154Updated last year