[NeurIPS'19] Deep Equilibrium Models

an implementation of CommNet

Code repository for SARNet: Learning Multi-Agent Communication through Structured Attentive Reasoning (NeurIPS 2020)

Correspondence Matrices are Underrated

Repository for the paper "Planning to Explore via Self-Supervised World Models"

A curated list of awesome imitation learning resources and publications

Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)

Code for "On the Utility of Learning about Humans for Human-AI Coordination"

Web application where humans can play Overcooked with AI agents.

Soft Actor-Critic

Reinforcement Learning with Deep Energy-Based Policies

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

PyTorch deep learning projects made easy. (Saving a local copy for re-use)

Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

Gridworld for MARL experiments

Soft Actor-Critic

Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"

A repository of data on coronavirus cases and deaths in the U.S.

Inferring beliefs about dynamics from behavior

This package contains supplementary material and examples for teb_local_planner tutorials.

An optimal trajectory planner considering distinctive topologies for mobile robots based on Timed-Elastic-Bands (ROS Package)

Simple and easily configurable grid world environments for reinforcement learning

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Assignments for CS294-112.

Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"

My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments

some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Cooperative Multi-Agent Learning》