HumanCompatibleAI / adversarial-policies
Find best-response to a fixed policy in multi-agent RL
☆278Updated 2 years ago
Alternatives and similar repositories for adversarial-policies:
Users that are interested in adversarial-policies are comparing it to the libraries listed below
- Tools for accelerating safe exploration research.☆517Updated last year
- Code for the paper "Phasic Policy Gradient"☆259Updated last year
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆190Updated 2 years ago
- Keeping track of RL experiments☆159Updated 2 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆401Updated last year
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆304Updated 3 years ago
- Real-World RL Benchmark Suite☆349Updated 4 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆289Updated last year
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆480Updated 2 years ago
- Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"☆169Updated last year
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆561Updated 2 years ago
- List of competitions related to Reinforcement Learning☆349Updated last year
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆258Updated 4 years ago
- A Python interface for reinforcement learning environments☆355Updated 2 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆193Updated 2 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆217Updated 2 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆216Updated last year
- Repo for reproduction of sequential social dilemmas☆392Updated 3 weeks ago
- Lightweight multi-agent gridworld Gym environment☆201Updated last year
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆666Updated 8 months ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆542Updated last year
- Dream to Control: Learning Behaviors by Latent Imagination☆524Updated 3 years ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆369Updated 3 years ago
- Gridworld for MARL experiments☆138Updated 4 years ago
- ☆293Updated last month
- Multi Task RL Baselines☆232Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆523Updated 3 years ago
- A collection of multi agent environments based on OpenAI gym.☆585Updated 6 months ago
- OpenAI Gym wrapper for ViZDoom enviroments☆68Updated 3 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆234Updated 2 years ago