GiannisMitr / DQN-Atari-BreakoutLinks
A Deep Q-Network trained to play Breakout Atari game on OpenAI Gym environment.
☆18Updated 3 years ago
Alternatives and similar repositories for DQN-Atari-Breakout
Users that are interested in DQN-Atari-Breakout are comparing it to the libraries listed below
Sorting:
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆123Updated 4 years ago
- Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch☆127Updated 5 years ago
- ☆23Updated 2 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆77Updated 4 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆182Updated 9 months ago
- A Reinforcement Learning Project using PPO + LSTM☆82Updated last year
- Lightweight multi-agent gridworld Gym environment☆208Updated last year
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆99Updated 2 years ago
- A collection of pre-trained RL agents using Stable Baselines3☆130Updated 7 months ago
- Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.☆37Updated 4 years ago
- ☆184Updated 3 years ago
- PyTorch implementation of the intrinsic curiosity module (ICM) and A3C a;lgorithm☆23Updated 3 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆69Updated 3 weeks ago
- Single-file pytorch implementation of hybrid-SAC☆58Updated 4 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆230Updated 5 months ago
- Deep Reinforcement Learning with DQN, Double DQN, Dueling DQN, Noisy Net (Noisy DQN), and DQN with Prioritized Experience Replay☆98Updated 5 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.☆98Updated last month
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆347Updated 4 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆35Updated 3 years ago
- ☆40Updated 3 years ago
- ☆306Updated 3 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆288Updated 4 years ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆47Updated 9 months ago
- CARES Reinforcement Learning Package☆29Updated last week
- An RL agent for the Google Football environment☆96Updated 4 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆155Updated last year
- OpenAI Gym environment designed for training RL agents to control the flight of a two-dimensional drone.☆52Updated 3 years ago
- 🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄☆127Updated last month
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆139Updated last year