karush17 / emixLinks
Energy-based Surprise Minimization for Multi-Agent Value Factorization
☆12Updated 2 years ago
Alternatives and similar repositories for emix
Users that are interested in emix are comparing it to the libraries listed below
Sorting:
- V-MPO torch version with DMLab30 and GTrXL☆13Updated 4 years ago
- Model-Based Offline Reinforcement Learning☆52Updated 4 years ago
- ☆31Updated 6 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- ☆78Updated last year
- Single Episode Policy Transfer in Reinforcement Learning☆17Updated 3 years ago
- PyTorch IMPALA implementation☆27Updated 6 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆56Updated 9 months ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆28Updated 3 years ago
- Implementation of VALOR (Variational Option Discovery Algorithms)☆10Updated 6 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆62Updated 6 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 3 years ago
- Deep RL agents with PyTorch☆35Updated 4 years ago
- Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems☆32Updated 7 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated 2 years ago
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆46Updated 7 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆68Updated 5 years ago
- Multi-Agent Determinantal Q-Learning☆44Updated 3 years ago
- Evolution-based Soft Actor-Critic (ESAC)☆42Updated last year
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 5 years ago
- Implementation of the Option-Critic Architecture☆40Updated 7 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 6 years ago
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆44Updated 5 years ago
- ☆54Updated last year
- Implementation of "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update", NeurIPS 2019.☆16Updated 6 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Updated 6 years ago
- ☆44Updated 4 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆40Updated 10 months ago
- Proximal Policy Option-Critic☆26Updated 7 years ago
- Implementation of the Prioritized Option-Critic on the Four-Rooms Environment☆17Updated 8 years ago