openai / coinrunLinks
Code for the paper "Quantifying Transfer in Reinforcement Learning"
☆398Updated last year
Alternatives and similar repositories for coinrun
Users that are interested in coinrun are comparing it to the libraries listed below
Sorting:
- Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"☆203Updated 6 years ago
- Code for the paper "Evolved Policy Gradients"☆250Updated 6 years ago
- Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"☆307Updated 2 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆204Updated 4 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
- Multi Agent Reinforcement Learning using MalmÖ☆258Updated 5 years ago
- Spriteworld: a flexible, configurable python-based reinforcement learning environment☆370Updated 5 years ago
- Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"☆172Updated 2 years ago
- A PyTorch Platform for Distributed RL☆748Updated 3 years ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆573Updated 2 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Updated 6 years ago
- A collection of baselines for the MineRL environment/datasets & the NeurIPS 2021 MineRL competitions☆149Updated 3 years ago
- World Models Experiments☆650Updated 2 years ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆371Updated 3 years ago
- Code for "Unsupervised State Representation Learning in Atari"☆251Updated last year
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆238Updated 2 years ago
- CuLE: A CUDA port of the Atari Learning Environment (ALE)☆238Updated 2 years ago
- Code for the paper "Phasic Policy Gradient"☆261Updated 2 years ago
- ☆303Updated 2 years ago
- Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"☆323Updated 3 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆361Updated 5 years ago
- Building Agents with Imagination: pytorch step-by-step implementation☆209Updated 6 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆427Updated last year
- This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement le…☆215Updated 5 years ago
- A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface☆381Updated 2 years ago
- ICML 2018 Self-Imitation Learning☆278Updated 5 years ago
- Basic versions of agents from Spinning Up in Deep RL written in PyTorch☆203Updated 4 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆819Updated 3 years ago
- RAD: Reinforcement Learning with Augmented Data☆409Updated 4 years ago
- PlayGround: AI Research into Multi-Agent Learning.☆772Updated last year