antonio-f / Dynamic-ProgrammingLinks
Algorithms for Policy Evaluation, Estimation of Action Values, Policy Improvement, Policy Iteration, Truncated Policy Evaluation, Truncated Policy Iteration, Value Iteration . From Udacity's Deep Reinforcement Learning Nanodegree program.
☆11Updated 6 years ago
Alternatives and similar repositories for Dynamic-Programming
Users that are interested in Dynamic-Programming are comparing it to the libraries listed below
Sorting:
- Hands-on Reinforcement Learning with PyTorch, published by [Packt]☆56Updated 4 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆79Updated 4 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆142Updated 2 years ago
- Hands-On Reinforcement Learning for Games, published by Packt☆60Updated 2 years ago
- PyTorch 1.x Reinforcement Learning Cookbook, published by Packt☆101Updated 2 years ago
- A collection of pre-trained RL agents using Stable Baselines3☆138Updated 11 months ago
- The Paradox of Choice: Using Attention in Hierarchical Reinforcement Learning☆11Updated 3 years ago
- ☆40Updated last month
- GAIL learning to imitate PPO playing CartPole.☆12Updated 4 years ago
- Solutions and figures for problems from Reinforcement Learning: An Introduction Sutton&Barto☆19Updated 6 years ago
- Training Agents in a cooperative multi-agent deep reinforcement learning setting to transport objects across a space☆15Updated 4 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆195Updated last year
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- Implementation notebooks and scripts of Deep Reinforcement learning Algorithms in PyTorch and TensorFlow.☆23Updated 5 years ago
- Emergence of complex strategies through multiagent competition☆44Updated 2 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆69Updated 4 months ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆58Updated 4 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 4 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆238Updated 8 months ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆101Updated 3 years ago
- Deep Q-Learning (DQN) implementation for Atari pong.☆85Updated 2 years ago
- Lightweight multi-agent gridworld Gym environment☆210Updated 2 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆27Updated 5 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 5 months ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆146Updated 3 years ago
- Mastering Reinforcement Learning with Python, published by Packt☆166Updated last month
- 📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️☆56Updated last year
- Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch☆142Updated 5 years ago
- Implementation of HindSight Experience Replay paper with Pytorch☆31Updated 4 years ago