automl / learning_environmentsLinks
We propose an evolution-based approach to meta-learn synthetic neural environments and reward neural networks for reinforcement learning.
☆21Updated 2 years ago
Alternatives and similar repositories for learning_environments
Users that are interested in learning_environments are comparing it to the libraries listed below
Sorting:
- Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)☆43Updated 3 years ago
- ☆71Updated 3 years ago
- Supplementary Data for Evolving Reinforcement Learning Algorithms☆47Updated 4 years ago
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆60Updated last year
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- Tensorflow 2 source code for the PI-SAC agent from "Predictive Information Accelerates Learning in RL" (NeurIPS 2020)☆45Updated 2 years ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 5 years ago
- PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021☆15Updated 4 years ago
- using information theory to encourage agents to cooperate and compete☆19Updated 7 years ago
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"☆22Updated 3 years ago
- [NeurIPS 2022] Open source code for reusing prior computational work in RL.☆100Updated 2 years ago
- Reinforcement learning algorithms in RLlib☆59Updated last year
- A web based platform for collecting human actions in reinforcement learning environments☆31Updated 4 months ago
- ☆14Updated 6 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆51Updated 2 years ago
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago
- ☆32Updated 4 years ago
- QuaRL is an open-source framework for systematically studying the effect of applying quantization to reinforcement learning algorithms.☆79Updated 2 years ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆78Updated 5 years ago
- Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…☆85Updated 2 years ago
- Generalised UDRL☆37Updated 3 years ago
- ☆10Updated 6 years ago
- The code for experiments conducted to verify the correctness of mirror learning.☆11Updated 3 years ago
- ☆32Updated 4 years ago
- AGAC: Adversarially Guided Actor-Critic☆47Updated 4 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Updated 4 years ago
- ☆33Updated last year
- (ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices☆23Updated 4 years ago
- ☆19Updated 6 years ago
- Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.☆37Updated 5 years ago