aralab-unr / ReinforcementLearningWithGA
☆18Updated 5 years ago
Related projects: ⓘ
- Reinforcement Learning approaches for learning communication in Multi Agent Systems.☆16Updated 5 years ago
- Implementation of basic reinforcement learning algorithms (Q-learning, SARSA, Policy iteration and Value Iteration) on benchmark RL MDPs …☆36Updated 8 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆71Updated 3 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆63Updated 5 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆44Updated last year
- Multi-Agent training using Deep Deterministic Policy Gradient Networks, Solving the Tennis Environment☆11Updated 5 years ago
- pytorch, noisy_distributional_double_dueling_PER_RNN_CNN...CartPole-v1 , Acrobot-v1, MountainCar-v0☆14Updated 6 years ago
- Deep Developmental Reinforcement Learning☆29Updated 4 years ago
- research and implementations of Deep RL agents and their applications☆46Updated 2 weeks ago
- Implement Google Deep Minds DQN for multiple agents for a grid world environment where vehicles must pick up customers.☆27Updated 6 years ago
- ☆41Updated 5 years ago
- Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.☆30Updated 3 years ago
- Implementation of Recurrent Deterministic Policy Gradient.☆35Updated 3 months ago
- ☆68Updated 4 years ago
- ☆20Updated 5 years ago
- deep-reinforcement-learning☆15Updated 5 years ago
- Deep Gaussian Process for Inverse Reinforcement Learning☆33Updated 7 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆82Updated 6 years ago
- OpenAI Gym environment for Robot Soccer Goal☆17Updated 5 years ago
- Reinforcement Learning from Hierarchical Critics☆12Updated 4 years ago
- A Python implementation of Fuzzy Q-Learning (FQL) for any controllers with continues states☆37Updated last year
- Combining Evolutionary Algorithms and deep Reinforcement Learning☆14Updated 6 years ago
- Reinforcement learning algorithms with Generalized Advantage Estimation☆21Updated 6 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆48Updated 3 years ago
- Fully Cooperative Multi-Agent Deep Reinforcement Learning☆23Updated 4 years ago
- A curated list of awesome Model-based reinforcement learning resources☆88Updated 4 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆48Updated 5 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆25Updated 4 years ago
- PyTorch implementation of DDPG for continuous control tasks.☆41Updated 4 years ago
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆46Updated 3 years ago