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.
☆12Updated 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 for Games, published by Packt☆60Updated 2 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆77Updated 4 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆123Updated 4 years ago
- Hands-on Reinforcement Learning with PyTorch, published by [Packt]☆54Updated 4 years ago
- Reinforcement Learning | Multi-Agent RL | Self-Play | Proximal Policy Optimization Algorithm (PPO) agent | Unity Tennis environment☆20Updated last year
- All the source codes and lectures of reinforcement learning.☆30Updated 4 years ago
- Implementation of some of the Deep Distributional Reinforcement Learning Algorithms.☆14Updated 3 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆36Updated 3 months ago
- Classic environments for reinforcement learning and dynamic programming, implemented in OpenAI Gym and Gymnasium.☆19Updated 2 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆41Updated 3 years ago
- ICML paper on Shapley Values for Explaining Reinforcement Learning. XRL feature-influence method.☆20Updated last year
- Bayesian Reward Shaping Framework for Deep Reinforcement Learning☆23Updated 6 years ago
- OpenAi's gym environment wrapper to vectorize them with Ray☆22Updated 2 years ago
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆138Updated 2 years ago
- An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games☆29Updated 2 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 5 years ago
- [AAMAS 2023] Code for the paper "Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning"☆13Updated last year
- Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning☆38Updated 2 years ago
- Emergence of complex strategies through multiagent competition☆44Updated 2 years ago
- Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023☆71Updated 7 months ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆49Updated last year
- The AI Arena: A framework for distributed multi-agent reinforcement learning☆14Updated 2 years ago
- PyTorch implementation of PPO algorithm☆22Updated 5 years ago
- Bayesian Inverse Reinforcement Learning with simple environments☆20Updated 3 years ago
- ☆17Updated last year
- Pointer Networks Implementation to solve Convex-Hull and TSP problems using supervised and RL training.☆12Updated last year
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆46Updated 4 years ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 3 years ago
- Implementation of NeurIPS 2018 paper "Meta-Gradient Reinforcement Learning"☆19Updated 2 years ago