TroddenSpade / Curiosity-driven-Exploration-in-Navigation
Using curiosity-driven approaches to enhance navigation through labyrinthian environments
☆13Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Curiosity-driven-Exploration-in-Navigation
- Exhaustive Implementation of Algorithms, Key Papers, and Well-Known Problems of Reinforcement Leaning☆12Updated 2 years ago
- Implementations of various Generative Adversarial Network algorithms and Neural Style Transfer approaches☆11Updated 2 years ago
- Reversi Judge☆16Updated 5 years ago
- Implementation of Decision Transformer, Conservative Q-Learning, and Behavior Cloning in Offline Reinforcement Learning setting☆24Updated 2 years ago
- Mobile app built with React Native & expo for sharing Photos' location!☆12Updated 3 years ago
- Samurai Theme for VSCode☆16Updated 3 years ago
- Classifying and tracking players of a soccer exhibition based on recorded videos with different points of view☆16Updated last year
- Parallel training on multiple Deep RL agents with Federated Learning approach to gain higher rewards☆29Updated 2 years ago
- Code snippets of Meta Reinforcement Learning algorithms☆34Updated last year
- Implementations of Maximum Entropy Algorithms for solving Inverse Reinforcement Learning problems.☆23Updated 2 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆130Updated last year
- ☆153Updated 4 years ago
- Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JS…☆236Updated last year
- Study of paper "Meta reinforcement learning for sim-to-real domain adaptation"☆16Updated 2 years ago
- Deep Reinforcement Learning with DQN, Double DQN, Dueling DQN, Noisy Net (Noisy DQN), and DQN with Prioritized Experience Replay☆93Updated 4 years ago
- My own implementation of Reinforcement Learning algorithms using Tensorflow 2.0☆28Updated 2 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆36Updated 2 years ago
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆39Updated 2 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆58Updated last year
- Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.☆440Updated 2 years ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆129Updated 10 months ago
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆298Updated 3 years ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆49Updated 3 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆75Updated 3 years ago
- Learning with Helper☆18Updated 5 years ago
- Lightweight multi-agent PPO for IEEE field.☆11Updated 2 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆90Updated 3 years ago
- Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'☆35Updated last year
- ☆15Updated 5 years ago