KJ-Waller / DQN-PyTorch-BreakoutLinks
An attempt at recreating DeepMind's implementation of Deep Q Learning on Atari Breakout using PyTorch
☆11Updated 5 years ago
Alternatives and similar repositories for DQN-PyTorch-Breakout
Users that are interested in DQN-PyTorch-Breakout are comparing it to the libraries listed below
Sorting:
- On Simple Reactive Neural Networks for Behaviour-Based Reinforcement Learning by Ameya Pore and Gerardo Aragon-Camarasa☆10Updated 5 years ago
- Utilizes Q-learning, DQN, and TD3 reinforcement learning algorithms to teach BipedalWalker to walk☆9Updated 4 years ago
- This is a repository of DQN and its variants implementation in PyTorch based on the original papar.☆13Updated 5 years ago
- Codes accompanying the paper "A Convergent and Efficient Deep Q Network Algorithm"☆8Updated 3 years ago
- [IROS2020] Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas☆10Updated 2 years ago
- 📖 Paper: Human-level control through deep reinforcement learning 🕹️☆51Updated last year
- Deep Q learning algorithm written on PyTorch for solving 2D robot arm reacher☆11Updated 5 years ago
- The Easiest Pytorch Implementation of Branching-DQN☆11Updated 4 years ago
- PyTorch Implementation of Hamilton-Jacobi DQN☆16Updated 4 years ago
- An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games☆29Updated 2 years ago
- This is pytorch implmentation project of Bootsrapped DQN☆12Updated 4 years ago
- Reinforcement learning algorithms A2C, A3C and DQN☆16Updated last year
- Reinforcement learning algorithm implementation☆10Updated 3 years ago
- Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning☆17Updated 2 years ago
- Implementation of the CartPole from OpenAI's Gym using only visual input for Reinforcement Learning control with DQN☆16Updated 4 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- Deep Q-Learning from Demonstrations implementation using Pytorch & OpenAI Gym☆6Updated 3 years ago
- ☆52Updated last month
- Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.☆100Updated 3 months ago
- [TNNLS] PGDQN: A generalized and efficient preference-guided epsilon-greedy policy equipped DQN for Atari and Autonomous Driving☆11Updated last year
- DQN Algorithm for an OpenAI Game☆8Updated 5 years ago
- A Reinforcement Learning Project using PPO + Transformer☆63Updated 2 years ago
- Code for SPIBB-DQN and Soft-SPIBB-DQN☆11Updated 5 years ago
- Pytorch Implementation of Policy Distillation for control, which has well-trained teachers via stable_baselines3.☆59Updated 4 years ago
- DQN, Reinforce, A2C (Reference: https://github.com/pytorch)☆8Updated 7 years ago
- [NeurIPS'24] The Official PyTorch implementation of DRAIL☆42Updated 8 months ago
- Adaptation of DQN, DDQN and COMA for multi-agent Gym environments☆12Updated last year
- Advantage weighted Actor Critic for Offline RL☆50Updated 2 years ago
- RL Algorithms for Visual Continuous Control☆32Updated 2 years ago
- Based on PytorchRL tutorials☆8Updated 3 years ago