BY571 / Randomized-Ensembled-Double-Q-learning-REDQ-
Pytorch implementation of Randomized Ensembled Double Q-learning (REDQ)
☆21Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Randomized-Ensembled-Double-Q-learning-REDQ-
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆34Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆36Updated 3 weeks ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 4 years ago
- Author implementation of Monte Carlo Augmented Actor Critic in PyTorch☆17Updated 2 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 3 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆36Updated 2 years ago
- Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"☆28Updated 2 years ago
- ☆40Updated 3 years ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆27Updated last year
- ☆21Updated 7 months ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Updated 5 years ago
- Implementation of VALOR (Variational Option Discovery Algorithms)☆10Updated 5 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆70Updated last year
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆31Updated last year
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- ☆30Updated 3 months ago
- Codebase of Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization (ICLR2021)☆51Updated 3 years ago
- VIME: Variational Information Maximizing Exploration☆9Updated 4 years ago
- Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"☆17Updated 2 years ago
- Autoregressive policies for continuous control reinforcement learning☆28Updated 5 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 5 years ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆17Updated 2 years ago
- Official implementation of DynE, Dynamics-aware Embeddings for RL☆43Updated 3 years ago
- ☆24Updated 3 months ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆52Updated 5 years ago
- My Body Is A Cage☆38Updated 3 years ago
- Energy-Based Hindsight Experience Prioritization (CoRL 2018) Oral presentation (7%)☆33Updated 5 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 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