clementbernardd / Count-Based-Exploration
Our version of #Exploration: A Study of Count-Based Explorationfor Deep Reinforcement Learning for a class project
☆15Updated 3 years ago
Alternatives and similar repositories for Count-Based-Exploration:
Users that are interested in Count-Based-Exploration are comparing it to the libraries listed below
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning☆22Updated 5 years ago
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆44Updated 4 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- ☆74Updated 10 months ago
- Source code for "A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning" (ICML 2021)☆31Updated 2 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 5 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆33Updated 5 years ago
- PyTorch IMPALA implementation☆26Updated 5 years ago
- Generalized Proximal Policy Optimization with Sample Reuse (GePPO)☆21Updated last year
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆39Updated 4 years ago
- ☆18Updated 2 years ago
- ☆44Updated 2 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- Code for "Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning"☆34Updated 3 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆43Updated 5 years ago
- ☆48Updated 3 years ago
- Deep Implicit Coordination Graphs☆41Updated 10 months ago
- Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)☆21Updated 2 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 4 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 5 years ago
- Learning Individual Intrinsic Reward in MARL☆62Updated 2 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆71Updated 2 years ago
- ☆36Updated 3 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆26Updated 3 years ago
- Implementations of SAILR, PDO, and CSC☆32Updated 8 months ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Updated 5 years ago
- Prioritized Sequence Experience Replay☆10Updated 3 years ago