eugenevinitsky / sequential_social_dilemma_gamesLinks
Repo for reproduction of sequential social dilemmas
☆409Updated 9 months ago
Alternatives and similar repositories for sequential_social_dilemma_games
Users that are interested in sequential_social_dilemma_games are comparing it to the libraries listed below
Sorting:
- ☆324Updated last year
- Gridworld for MARL experiments☆144Updated 4 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 3 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆330Updated 2 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆268Updated 5 years ago
- A collection of multi agent environments based on OpenAI gym.☆626Updated last year
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆707Updated last year
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆205Updated 3 years ago
- A customizable framework to create maze and gridworld environments☆269Updated 6 years ago
- Tools for accelerating safe exploration research.☆574Updated 2 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆358Updated 6 years ago
- Lightweight multi-agent gridworld Gym environment☆212Updated 2 years ago
- Mean Field Multi-Agent Reinforcement Learning☆412Updated 5 years ago
- 🏆 gym-cooking: Code for "Too many cooks: Bayesian inference for coordinating multi-agent collaboration", Winner of the CogSci 2020 Compu…☆216Updated 4 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆223Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆332Updated 4 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆559Updated 2 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆167Updated 3 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆505Updated 3 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆199Updated last year
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆181Updated 8 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆523Updated 3 years ago
- PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tu…☆157Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆356Updated 5 years ago
- Code for the paper "Phasic Policy Gradient"☆267Updated 2 years ago
- List of competitions related to Reinforcement Learning☆350Updated last year
- DEPRECATED - please visit https://github.com/vwxyzjn/ppo-implementation-details☆46Updated 3 years ago
- Sokoban environment for OpenAI Gym☆390Updated 2 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.☆375Updated 2 years ago
- A Python interface for reinforcement learning environments☆388Updated 3 years ago