ChintanTrivedi / rl-bot-football
An RL agent for the Google Football environment
☆94Updated 3 years ago
Alternatives and similar repositories for rl-bot-football:
Users that are interested in rl-bot-football are comparing it to the libraries listed below
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆304Updated 3 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
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆167Updated 6 months ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆258Updated 4 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆289Updated last year
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆94Updated 4 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆284Updated 3 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆136Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated 6 months ago
- PyTorch implementation of SAC-Discrete.☆294Updated 6 months ago
- Lightweight multi-agent gridworld Gym environment☆201Updated last year
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆102Updated 5 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆174Updated last year
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆341Updated last year
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆203Updated 5 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆97Updated 5 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆68Updated 6 months ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆115Updated 2 months ago
- A well-documented A2C written in PyTorch☆50Updated 5 years ago
- Policy Gradient Actor-Critic PyTorch | Lunar Lander v2☆72Updated 5 years ago
- DQN to play Atari Pong☆112Updated 6 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆100Updated 4 years ago
- Proximal Policy Optimization implementation with TensorFlow☆105Updated 6 years ago
- Keeping track of RL experiments☆159Updated 2 years ago
- Experiments with reinforcement learning and recurrent neural networks☆113Updated last year
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning☆90Updated 5 years ago
- Series of deep reinforcement learning algorithms 🤖☆29Updated 3 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆154Updated 2 years ago