jparkerholder / DvD_ES
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 3 years ago
Related projects: ⓘ
- ☆53Updated 6 months ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago
- ☆69Updated 3 months ago
- ☆39Updated 3 years ago
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Updated last year
- Author's PyTorch implementation of LAP and PAL with TD3 and DDQN☆33Updated 2 years ago
- PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning☆48Updated 3 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆21Updated 4 years ago
- ☆23Updated last year
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆24Updated 2 years ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆25Updated last year
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated last year
- PyTorch IMPALA implementation☆24Updated 5 years ago
- ☆59Updated 6 years ago
- Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>☆18Updated 3 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆48Updated 5 years ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆65Updated 3 years ago
- ☆27Updated 2 years ago
- ☆95Updated last year
- Implementation of Tactical Optimistic and Pessimistic value estimation☆24Updated last year
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆44Updated 3 years ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆37Updated last year
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆65Updated 4 years ago
- Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)☆28Updated 4 years ago
- Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems☆31Updated 5 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 4 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆37Updated 2 years ago
- Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning☆22Updated 4 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆42Updated last year