DavidMouse1118 / Reinforcement-Learning-Maze-WorldLinks
SARSA, Q-Learning, Expected SARSA, SARSA(λ) and Double Q-learning Implementation and Analysis
☆30Updated 6 years ago
Alternatives and similar repositories for Reinforcement-Learning-Maze-World
Users that are interested in Reinforcement-Learning-Maze-World are comparing it to the libraries listed below
Sorting:
- Experiments with reinforcement learning and recurrent neural networks☆114Updated 2 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆96Updated 4 years ago
- An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games☆32Updated 3 years ago
- The implementation of LSTM-TD3.☆87Updated 2 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆94Updated 2 years ago
- Evolution-based Soft Actor-Critic (ESAC)☆42Updated last year
- I used this paper as inspiration https://arxiv.org/pdf/1904.03367.pdf☆35Updated 3 years ago
- Collection of OpenAI parametrized action-space environments.☆69Updated 10 months ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆183Updated 2 years ago
- Project exploring Multi Task Deep Reinforcement Learning neural network architectures and algorithms with Open AI Gym and TensorFlow☆17Updated 7 years ago
- This is a repository of DQN and its variants implementation in PyTorch based on the original papar.☆13Updated 6 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆24Updated 4 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆80Updated 5 years ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆169Updated last year
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆157Updated last year
- Heterogeneous Multi-Robot Reinforcement Learning☆66Updated 3 months ago
- ☆16Updated 4 years ago
- ☆42Updated 6 years ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆59Updated 4 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆149Updated 4 years ago
- A clean and robust Pytorch implementation of TD3 on continuous action space☆30Updated last year
- Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.☆41Updated 4 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆112Updated 4 years ago
- Implementation of Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.☆29Updated 9 months ago
- Transformer in RL for decision-making☆104Updated 2 years ago
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆27Updated 3 years ago
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆56Updated 3 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆171Updated last year
- OpenAI MountainCar-v0 DeepRL-based solutions (DQN, DuelingDQN, D3QN)☆24Updated 4 years ago