jparkerholder / DvD_ESLinks
Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is the Evolution Strategies implementation, but of course the method can be used for gradient based RL algorithms (e.g. TD3).
☆44Updated 5 years ago
Alternatives and similar repositories for DvD_ES
Users that are interested in DvD_ES are comparing it to the libraries listed below
Sorting:
- ☆54Updated last year
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Updated 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
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Author's PyTorch implementation of LAP and PAL with TD3 and DDQN☆37Updated 4 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 5 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 7 months ago
- ☆33Updated last year
- Implementation of the Option-Critic Architecture☆40Updated 7 years ago
- ☆78Updated last year
- ☆99Updated 2 years ago
- ☆26Updated 2 years ago
- PyTorch IMPALA implementation☆27Updated 6 years ago
- ☆26Updated 3 years ago
- Source code for the paper "Divergence-Augmented Policy Optimization"☆37Updated 6 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 6 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆32Updated 4 years ago
- ☆62Updated 7 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems☆32Updated 7 years ago
- Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning☆22Updated 5 years ago
- Model-Based Offline Reinforcement Learning☆51Updated 4 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆107Updated 5 years ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆26Updated 3 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated 2 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆28Updated 3 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆69Updated 4 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago