MeepMoop / tilecodingLinks
Binary feature representations with tile coding
☆45Updated 10 months ago
Alternatives and similar repositories for tilecoding
Users that are interested in tilecoding are comparing it to the libraries listed below
Sorting:
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆315Updated 2 years ago
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆194Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆307Updated 11 months ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 5 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆346Updated 5 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆317Updated 3 years ago
- List of competitions related to Reinforcement Learning☆350Updated last year
- Constrained Policy Optimization☆322Updated 8 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆504Updated 2 years ago
- Simple Cartpole example writed with pytorch.☆169Updated 5 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆213Updated 2 years ago
- A collection of multi agent environments based on OpenAI gym.☆606Updated last year
- Mean Field Multi-Agent Reinforcement Learning☆396Updated 5 years ago
- Keeping track of RL experiments☆162Updated 2 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆156Updated 2 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆300Updated last year
- DEPRECATED - please visit https://github.com/vwxyzjn/ppo-implementation-details☆46Updated 3 years ago
- PyTorch implementation of Trust Region Policy Optimization☆441Updated 6 years ago
- Code for conservative Q-learning☆450Updated 3 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆435Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆554Updated 3 years ago
- A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.☆369Updated last year
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆302Updated 2 years ago
- Code for the paper "Phasic Policy Gradient"☆262Updated 2 years ago
- Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'☆64Updated 3 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆636Updated 4 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆130Updated 11 months ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆160Updated 2 years ago
- Gridworld for MARL experiments☆141Updated 4 years ago
- Simple gym environments for safety in Reinforcement Learning Research☆18Updated last year