rlai-lab / Regularized-GradientTD
Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.
☆36Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for Regularized-GradientTD
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 4 years ago
- AGAC: Adversarially Guided Actor-Critic☆47Updated 3 years ago
- Continual Reinforcement Learning in 3D Non-stationary Environments☆35Updated 5 years ago
- krazy grid world☆25Updated 4 years ago
- ☆28Updated last year
- ☆81Updated 3 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆48Updated 2 years ago
- Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"☆32Updated last year
- ☆30Updated 3 months ago
- ☆85Updated 3 months ago
- Implementation of the Prioritized Option-Critic on the Four-Rooms Environment☆15Updated 6 years ago
- Learning Laplacian Representations in Reinforcement Learning☆17Updated 3 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆49Updated 2 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆83Updated 3 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- ☆29Updated 3 years ago
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆15Updated 4 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 6 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 3 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆99Updated 2 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated last year
- ☆41Updated 6 years ago
- Revisiting Rainbow☆73Updated 3 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆105Updated 2 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- RAD: Reinforcement Learning with Augmented Data (code for procgen experiments)☆18Updated 3 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆52Updated 5 years ago