Generalized Data Distribution Iteration | | 481.9 | GDI-H3 | 2022-06-07 |
Recurrent Experience Replay in Distributed Reinforcement Learning | ✓ Link | 79.3 | R2D2 | 2019-05-01 |
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model | ✓ Link | 67.04 | MuZero | 2019-11-19 |
Agent57: Outperforming the Atari Human Benchmark | ✓ Link | 63.64 | Agent57 | 2020-03-30 |
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning | | 44.94 | GDI-I3 | 2021-06-11 |
Generalized Data Distribution Iteration | | 44.94 | GDI-I3 | 2022-06-07 |
Online and Offline Reinforcement Learning by Planning with a Learned Model | ✓ Link | 41.66 | MuZero (Res2 Adam) | 2021-04-13 |
The Arcade Learning Environment: An Evaluation Platform for General Agents | ✓ Link | 39.4 | UCT | 2012-07-19 |
Distributed Prioritized Experience Replay | ✓ Link | 33 | Ape-X | 2018-03-02 |
Mastering Atari with Discrete World Models | ✓ Link | 26 | DreamerV2 | 2020-10-05 |
Fully Parameterized Quantile Function for Distributional Reinforcement Learning | ✓ Link | 17.3 | FQF | 2019-11-05 |
DNA: Proximal Policy Optimization with a Dual Network Architecture | ✓ Link | 7.2 | DNA | 2022-06-20 |
Evolving simple programs for playing Atari games | ✓ Link | 4 | CGP | 2018-06-14 |
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures | ✓ Link | 3.48 | IMPALA (deep) | 2018-02-05 |
Noisy Networks for Exploration | ✓ Link | 3 | NoisyNet-Dueling | 2017-06-30 |
Prioritized Experience Replay | ✓ Link | 1.3 | Prior noop | 2015-11-18 |
Dueling Network Architectures for Deep Reinforcement Learning | ✓ Link | 0.5 | Duel noop | 2015-11-20 |
Deep Reinforcement Learning with Double Q-learning | ✓ Link | 0.5 | Prior+Duel hs | 2015-09-22 |
Implicit Quantile Networks for Distributional Reinforcement Learning | ✓ Link | 0.2 | IQN | 2018-06-14 |
[]() | | -3.2 | SARSA | |
Human level control through deep reinforcement learning | ✓ Link | -1.6 | Nature DQN | 2015-02-25 |
Massively Parallel Methods for Deep Reinforcement Learning | ✓ Link | -1.7 | Gorila | 2015-07-15 |
Deep Reinforcement Learning with Double Q-learning | ✓ Link | -1.6 | DQN hs | 2015-09-22 |
Deep Reinforcement Learning with Double Q-learning | ✓ Link | -1.9 | DQN noop | 2015-09-22 |
Dueling Network Architectures for Deep Reinforcement Learning | ✓ Link | -1.3 | Duel hs | 2015-11-20 |
Dueling Network Architectures for Deep Reinforcement Learning | ✓ Link | -2.7 | DDQN (tuned) noop | 2015-11-20 |
Deep Reinforcement Learning with Double Q-learning | ✓ Link | -2.5 | DDQN (tuned) hs | 2015-09-22 |
Prioritized Experience Replay | ✓ Link | -0.2 | Prior hs | 2015-11-18 |
Learning values across many orders of magnitude | | -4.1 | DDQN+Pop-Art noop | 2016-02-24 |
Dueling Network Architectures for Deep Reinforcement Learning | ✓ Link | -0.4 | Prior+Duel noop | 2015-11-20 |
Asynchronous Methods for Deep Reinforcement Learning | ✓ Link | -1.7 | A3C LSTM hs | 2016-02-04 |
Asynchronous Methods for Deep Reinforcement Learning | ✓ Link | -2.8 | A3C FF hs | 2016-02-04 |
Asynchronous Methods for Deep Reinforcement Learning | ✓ Link | -4.7 | A3C FF (1 day) hs | 2016-02-04 |
Evolution Strategies as a Scalable Alternative to Reinforcement Learning | ✓ Link | -4.1 | ES FF (1 hour) noop | 2017-03-10 |
A Distributional Perspective on Reinforcement Learning | ✓ Link | -3.5 | C51 noop | 2017-07-21 |
Deep Exploration via Bootstrapped DQN | ✓ Link | -1.3 | Bootstrapped DQN | 2016-02-15 |
Increasing the Action Gap: New Operators for Reinforcement Learning | ✓ Link | -0.25 | Persistent AL | 2015-12-15 |
Increasing the Action Gap: New Operators for Reinforcement Learning | ✓ Link | -1.24 | Advantage Learning | 2015-12-15 |
Distributional Reinforcement Learning with Quantile Regression | ✓ Link | -1.7 | QR-DQN-1 | 2017-10-27 |
Self-Imitation Learning | ✓ Link | -2.4 | A2C + SIL | 2018-06-14 |
Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization | ✓ Link | -4.12 | POP3D | 2018-07-02 |
The Arcade Learning Environment: An Evaluation Platform for General Agents | ✓ Link | -9.5 | Best Learner | 2012-07-19 |
Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity | ✓ Link | -3.6 | ASL DDQN | 2023-05-07 |