openai / robosumo
Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"
☆307Updated 2 years ago
Alternatives and similar repositories for robosumo:
Users that are interested in robosumo are comparing it to the libraries listed below
- Code for the paper "Evolved Policy Gradients"☆250Updated 6 years ago
- ICML 2018 Self-Imitation Learning☆277Updated 4 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆237Updated 2 years ago
- This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement le…☆216Updated 5 years ago
- ☆117Updated 4 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆362Updated 4 years ago
- Actor-critic with experience replay☆252Updated 2 years ago
- Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"☆197Updated 6 years ago
- Code for the paper "Quantifying Transfer in Reinforcement Learning"☆399Updated last year
- A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…☆203Updated 4 years ago
- NIPS 2017 Value Prediction Network☆166Updated 7 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆189Updated 6 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆421Updated last year
- Building Agents with Imagination: pytorch step-by-step implementation☆208Updated 6 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆182Updated 7 years ago
- A reinforcement learning framework☆155Updated 6 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆203Updated 4 years ago
- ☆159Updated 7 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆135Updated last year
- RUDDER for ATARI games with delayed rewards in OpenAI Baselines package☆266Updated 5 years ago
- An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆133Updated 7 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆177Updated 7 years ago
- Velocity in deep-learning research☆277Updated 2 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆152Updated 7 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆259Updated 6 months ago
- Add-on package to gym, to record sequences of actions, observations, and rewards☆72Updated 2 years ago
- Basic versions of agents from Spinning Up in Deep RL written in PyTorch☆200Updated 3 years ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆370Updated 3 years ago
- Multitask Environments for RL☆275Updated 3 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆181Updated 7 years ago