openai / robosumoLinks
Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"
☆310Updated 2 years ago
Alternatives and similar repositories for robosumo
Users that are interested in robosumo are comparing it to the libraries listed below
Sorting:
- Code for the paper "Evolved Policy Gradients"☆253Updated 6 years ago
- This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement le…☆218Updated 6 years ago
- Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"☆206Updated 6 years ago
- Building Agents with Imagination: pytorch step-by-step implementation☆210Updated 6 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆206Updated 5 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆429Updated last year
- ICML 2018 Self-Imitation Learning☆278Updated 5 years ago
- Publicly releasable baselines for the Retro contest☆130Updated 6 years ago
- Code for the paper "Quantifying Transfer in Reinforcement Learning"☆403Updated 2 years ago
- ☆120Updated 5 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆244Updated 3 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Updated 6 years ago
- NIPS 2017 Value Prediction Network☆166Updated 7 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆360Updated 5 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆180Updated 8 years ago
- A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…☆202Updated 5 years ago
- Basic versions of agents from Spinning Up in Deep RL written in PyTorch☆207Updated 4 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"☆349Updated 6 years ago
- Actor-critic with experience replay☆255Updated 3 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆259Updated last year
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆184Updated 7 years ago
- Code release for Learning with Opponent-Learning Awareness and variations.☆151Updated 2 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆186Updated 7 years ago
- A PyTorch implementation of Rainbow DQN agent☆170Updated 7 years ago
- I am implementing a lot of reinforcement learning and imitation learning algorithms since I'm sick of reading about them but not really u…☆51Updated 5 years ago
- This package allows to use PLE as a gym environment.☆72Updated 5 years ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆372Updated 4 years ago
- An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆131Updated 7 years ago