openai / coinrunLinks
Code for the paper "Quantifying Transfer in Reinforcement Learning"
☆397Updated 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"☆199Updated 6 years ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆370Updated 3 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆239Updated 2 years ago
- Code for the paper "Evolved Policy Gradients"☆250Updated 6 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
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆204Updated 4 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆189Updated 6 years ago
- Multi Agent Reinforcement Learning using MalmÖ☆256Updated 5 years ago
- Code for "Unsupervised State Representation Learning in Atari"☆250Updated last year
- Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"☆172Updated 2 years ago
- A PyTorch Platform for Distributed RL☆747Updated 3 years ago
- Building Agents with Imagination: pytorch step-by-step implementation☆208Updated 6 years ago
- ICML 2018 Self-Imitation Learning☆278Updated 5 years ago
- Multitask Environments for RL☆278Updated 3 years ago
- RAD: Reinforcement Learning with Augmented Data☆410Updated 4 years ago
- Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"☆306Updated 2 years ago
- CuLE: A CUDA port of the Atari Learning Environment (ALE)☆238Updated 2 years ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆566Updated 2 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆425Updated last year
- Spriteworld: a flexible, configurable python-based reinforcement learning environment☆370Updated 4 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆361Updated 4 years ago
- A collection of baselines for the MineRL environment/datasets & the NeurIPS 2021 MineRL competitions☆149Updated 3 years ago
- Random Network Distillation pytorch☆248Updated 6 years ago
- A PyTorch Library for Reinforcement Learning Research☆198Updated last year
- Velocity in deep-learning research☆276Updated 2 years ago
- DrQ: Data regularized Q☆416Updated 2 years ago
- Publicly releasable baselines for the Retro contest☆127Updated 6 years ago
- lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.☆375Updated 2 years ago
- Basic versions of agents from Spinning Up in Deep RL written in PyTorch☆202Updated 4 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,003Updated 6 years ago