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:
- PyTorch 1.x Reinforcement Learning Cookbook, published by Packt☆101Updated 3 years ago
- Hands-on Reinforcement Learning with PyTorch, published by [Packt]☆57Updated 5 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆122Updated 5 years ago
- Solutions and figures for problems from Reinforcement Learning: An Introduction Sutton&Barto☆19Updated 6 years ago
- The Paradox of Choice: Using Attention in Hierarchical Reinforcement Learning☆11Updated 4 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆54Updated 8 months ago
- A repository for code of reinforcement learning algorithms with PyTorch☆30Updated 4 years ago
- Hands-On Reinforcement Learning for Games, published by Packt☆60Updated last month
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆71Updated 8 months ago
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆143Updated 3 years ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆59Updated 4 years ago
- The AI Arena: A framework for distributed multi-agent reinforcement learning☆14Updated 3 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆79Updated 5 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆90Updated 2 years ago
- ☆39Updated 5 months ago
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…☆54Updated 2 months ago
- Deep Reinforcement Learning applied to a modern 3D video-game environment called Delivery Duel.☆41Updated 7 years ago
- ☆42Updated 6 years ago
- Series of deep reinforcement learning algorithms 🤖☆29Updated 4 years ago
- Solving POMDP using Recurrent networks☆92Updated 5 years ago
- A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment☆94Updated 7 years ago
- 📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️☆60Updated last year
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆102Updated 3 years ago
- Reinforcement Learning | Multi-Agent RL | Self-Play | Proximal Policy Optimization Algorithm (PPO) agent | Unity Tennis environment☆21Updated 2 months ago
- Training Agents in a cooperative multi-agent deep reinforcement learning setting to transport objects across a space☆14Updated 4 years ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 5 years ago
- Emergence of complex strategies through multiagent competition☆45Updated 3 years ago
- Extending rllab to event-driven multiagent environments☆13Updated 7 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆247Updated last year
- RLlib tutorials☆66Updated 4 years ago