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]☆57Updated 4 years ago
- PyTorch 1.x Reinforcement Learning Cookbook, published by Packt☆101Updated 2 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆79Updated 5 years ago
- Hands-On Reinforcement Learning for Games, published by Packt☆60Updated last week
- Mastering Reinforcement Learning with Python, published by Packt☆172Updated last week
- ☆39Updated 4 months ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, …☆121Updated 5 years ago
- Solutions and figures for problems from Reinforcement Learning: An Introduction Sutton&Barto☆19Updated 6 years ago
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆143Updated 3 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆244Updated 11 months ago
- My personal practice to implement algorithms of RL from scratch.☆37Updated 5 years ago
- Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch☆143Updated 5 years ago
- Source Code for 'Deep Reinforcement Learning with Python' by Nimish Sanghi☆49Updated 3 years ago
- Reinforcement Learning Algorithms with Python, Published by Packt☆187Updated 2 years ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆102Updated 3 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆70Updated 6 months ago
- Emergence of complex strategies through multiagent competition☆45Updated 3 years ago
- All the source codes and lectures of reinforcement learning.☆33Updated 5 years ago
- A collection of pre-trained RL agents using Stable Baselines3☆141Updated last year
- RLlib tutorials☆66Updated 3 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆149Updated 4 years ago
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…☆54Updated last month
- The Paradox of Choice: Using Attention in Hierarchical Reinforcement Learning☆11Updated 4 years ago
- Reinforcement learning algorithms A2C, A3C and DQN☆18Updated 2 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆199Updated last year
- Implementation notebooks and scripts of Deep Reinforcement learning Algorithms in PyTorch and TensorFlow.☆23Updated 5 years ago
- implementation of "Evolution Strategies as a Scalable Alternative to Reinforcement Learning" OpenAI paper☆20Updated 4 years ago
- ☆28Updated 2 years ago
- ☆17Updated 5 years ago
- Implementations for solutions to programming exercises of Reinforcement Learning: An Introduction, Second Edition (Sutton & Barto)☆34Updated 3 years ago