ewanlee / ICLR2019-RL-PapersView external linksLinks
The Reinforcement-Learning-Related Papers of ICLR 2019
☆48May 28, 2019Updated 6 years ago
Alternatives and similar repositories for ICLR2019-RL-Papers
Users that are interested in ICLR2019-RL-Papers are comparing it to the libraries listed below
Sorting:
- soft q learning and soft actor critic☆16Dec 23, 2018Updated 7 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Jul 26, 2019Updated 6 years ago
- ☆13Apr 3, 2019Updated 6 years ago
- A simple highway traffic simulation for self-driving car agents in occupancy grid world☆15May 28, 2019Updated 6 years ago
- A curated list of awesome Model-based reinforcement learning resources☆95Sep 6, 2020Updated 5 years ago
- Model-Free-Episodic-Control implementation.☆17Jun 3, 2019Updated 6 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆35May 17, 2019Updated 6 years ago
- Reproduce ICLR2018 submission "Emergent Communication through Negotiation"☆17Apr 19, 2018Updated 7 years ago
- FEN Code☆40Nov 4, 2019Updated 6 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Dec 8, 2022Updated 3 years ago
- Implementation of Behavioral Cloning from Observationmentation☆16Nov 28, 2019Updated 6 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆168Dec 8, 2022Updated 3 years ago
- Assignments for CS294-112.☆16Jul 13, 2018Updated 7 years ago
- Hindsight policy gradients☆46Jan 31, 2020Updated 6 years ago
- Implementation of Data Efficient Reinforcement Learning in Pytorch☆20Aug 6, 2019Updated 6 years ago
- Pytorch code for Arxiv Paper: Learning to learn: Meta-Critic Networks for Sample-Efficient Learning☆57Apr 3, 2018Updated 7 years ago
- Multitask Environments for RL☆281Aug 23, 2021Updated 4 years ago
- ☆99Mar 24, 2023Updated 2 years ago
- ☆22Sep 28, 2018Updated 7 years ago
- ☆58Nov 12, 2021Updated 4 years ago
- My reading list for model-based control☆161Dec 17, 2018Updated 7 years ago
- ☆398Jul 18, 2019Updated 6 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,082May 19, 2021Updated 4 years ago
- Code for Environment Probing Interaction Policies [ICLR 2019]☆29Jun 17, 2019Updated 6 years ago
- ☆26Mar 16, 2023Updated 2 years ago
- Model-based Reinforcement Learning Framework☆115May 22, 2020Updated 5 years ago
- A new paper list for multi-agent reinforcement learning (actively maintained)☆24Mar 27, 2020Updated 5 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Dec 8, 2020Updated 5 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆178Dec 8, 2022Updated 3 years ago
- For deep RL and the future of AI.☆1,504Mar 1, 2024Updated last year
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆741May 23, 2022Updated 3 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆295Feb 24, 2021Updated 4 years ago
- Repository for our ICML 2019 paper: Curiosity-Bottleneck☆34Nov 21, 2022Updated 3 years ago
- ☆33Dec 8, 2022Updated 3 years ago
- Weekly reading group on Graphs at Mila☆31Mar 7, 2019Updated 6 years ago
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆79Nov 19, 2022Updated 3 years ago
- ☆80Mar 4, 2019Updated 6 years ago
- Setup generator for the board game Spirit Island 🏝️☆10Nov 24, 2023Updated 2 years ago
- Personal Repo to keep track of RL papers☆31May 3, 2021Updated 4 years ago